Zurich North America is hiring a Risk Engineering (Representative or Consultant) to join our team! This position will be remotely in one of the following Western States: CO, NV, UT, NM, AZ, CA,We are seeking Candidates for this position that offers comprehensive training in the areas of Risk, Safety and Property exposures, if you are looking to start down a career path with exciting possibilities or if you are looking for your next opportunity, this position is available at various levels of career stages. We are here to help you develop the skills you need to succeed.Zurich Risk Engineers travel to customer locations to perform risk assessments and advise customers in a wide array of industries. Risk Engineering takes an approach that emphasizes consulting and prevention of losses using engineering approaches and expertise rather than just focusing on checklists and inspections for regulatory compliance. Zurich’s Middle Market Risk Engineering team of specialists provide detailed risk assessments of our customers’ facilities focusing on Casualty (health and safety) as well as Property (fire protection, special hazards, natural catastrophe exposures), and the like to ultimately help protect our customers and Zurich from losses.Depending on your current level of experience with Property exposures this role provides the opportunity for training to start you on an exciting and challenging career path that will help you capitalize on your technical education working as part of a global insurance leader. As a Zurich Risk Engineer, you will have the opportunity to think and act on your feet, work in a flexible and fast paced environment, travel to customer locations, perform assessments to analyze and evaluate exposures, and help customers understand and manage their risk. Working with a powerful global service network of over 900 specialists with in-depth technical knowledge and industry segment expertise, you will have access to leading edge risk management information, tools, and training. Additionally, you will collaborate with underwriting teams to help with risk selection and retention. This Middle Market Property and Casualty Risk Engineering role is a work from home role. Travel is estimated at 25-50% depending on location.A company car is provided.Because this position includes a company car, final candidates will be subject to a Motor Vehicle Record check.This role will be filled at either theRisk Engineering RepresentativeorRisk Engineering Consultant Level.The hiring manager will determine the appropriate level based upon the selected applicant’s experience and skill set relative to the qualifications listed for this position.Basic Qualifications:Risk Engineering Representative:Bachelors Degree and 2 or more years of experience in the Risk Management And Property & Casualty Safety areaORHigh School Diploma or Equivalent and 4 or more years of experience in the Risk Management And Property & Casualty Safety areaORRisk Engineering Consultant:Bachelors Degree and 3 or more years of experience in the Risk Engineering area ORHigh School Diploma or Equivalent and 5 or more years of experience in the Risk Engineering area [Use Risk EngineeringORZurich Certified Apprentice, including an Associates degree and 3 or more years of experience in the Risk Engineering areaANDExperience working in a team environmentRelevant experience in the assessment of risk, based on what is required by LOB specific competency standardsPreferred Qualifications:Ability to work in a team environmentStrong communication and interpersonal skillsBasic knowledge of exposures and controlsEligible to sit for National Board Commission TestMicrosoft Office skillsCompensation for roles at Zurich varies depending on a wide array of factors including but not limited to the specific office location, role, skill set, and level of experience. As required by local law, Zurich provides in good faith a reasonable range of compensation for roles. For additional information about our Total Rewards, Clickhere.Other rewards may include short term incentive bonuses and merit increases.Candidates with salary expectations outside of the range are encouraged to apply, and will be considered based on experience, skill, and education.The salary provided is a nationwide market range and has not been adjusted for the applicable geographic differential associated with the location where the position may be filled.The combined salary range for this position is$57,500.00 -$119,200.00. The starting salary range for theRisk Engineering Representativeis$57,500.00 - $94,300.00and for theRisk Engineering Consultantis $72,800.00 - $119,200.00.As an insurance company, Zurich is subject to 18 U.S. Code 1033.As a condition of employment at Zurich, employees must adhere to any COVID-related health and safety protocols in place at that time (https://www.zurichna.com/careers/faq).A future with Zurich. What can go right when you apply at Zurich Now is the time to move forward and make a difference. At Zurich, we want you to share your unique perspectives, experiences and ideas so we can grow and drive sustainable change together. As part of a leading global organization, Zurich North America has over 150 years of experience managing risk and supporting resilience. Today, Zurich North America is a leading provider of commercial property-casualty insurance solutions and a wide range of risk management products and services for businesses and individuals. We serve more than 25 industries, from agriculture to technology, and we insure 90% of the Fortune 500®. Our growth strategy is not limited to our business. As an employer, we strive to provide ongoing career development opportunities, and we foster an environment where voices are diverse, behaviors are inclusive, actions drive equity, and our people feel a sense of belonging. Be a part of the next evolution of the insurance industry. Join us in building a brighter future for our colleagues, our customers and the communities we serve. Zurich maintains a comprehensive employee benefits package for employees as well as eligible dependents and competitive compensation. Please click here to learn more.As a global company, Zurich recognizes the diversity of our workforce as an asset. We recruit talented people from a variety of backgrounds with unique perspectives that are truly welcome here. Taken together, diversity and inclusion bring us closer to our common goal: exceeding our customers’ expectations. Zurich does not discriminate on the basis of age, race, ethnicity, color, religion, sex, sexual orientation, gender expression, national origin, disability, protected veteran status or any other legally protected status. EOE disability/vetZurich does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resume will become the property of Zurich American Insurance. If you are a preferred vendor, please use our Recruiting Agency Portal for resume submission.Location(s): AM - California Virtual Office, AM - Arizona Virtual Office, AM - Colorado Virtual Office, AM - Nevada Virtual Office, AM - New Mexico Virtual Office, AM - Utah Virtual OfficeRemote Working: YesSchedule: Full TimeEmployment Sponsorship Offered:NoLinkedin Recruiter Tag: #LI-RA1 #LI-ASSOCIATE #LI-REMOTE

Thank you for your interest in working for our Company. Recruiting the right talent is crucial to our goals. On April 1, 2024, 3M Healthcare underwent a corporate spin-off leading to the creation of a new company named Solventum. We are still in the process of updating our Careers Page and applicant documents, which currently have 3M branding. Please bear with us. In the interim, our Privacy Policy here: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ continues to apply to any personal information you submit, and the 3M-branded positions listed on our Careers Page are for Solventum positions. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Job Description:Bioprocess Applications Engineer - Biopharma (Solventum)3M Health Care is now SolventumAt Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you.The Impact You’ll Make in this Role: As a Bioprocess Applications Engineer, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by:Working in the Bioprocessing Filtration business cross-functional team (including Global Key Accounts) to drive growth through collaborations with customers and external industry experts to implement manufacturing purification solutions based on the innovative integration of multiple differentiated Solventum product platforms.Providing product application engineering support throughout the lifecycle of the Solventum product portfolioBecoming a regional bioprocessing expert in the industry through extensive collaborations across Solventum’ s customer base and elevate Solventum’ s visibility and reputation through joint publications, presentations, and industry participation.Working across the relevant Solventum organizations to provide customer insights, support customer-centric sales and marketing activities, and champion upcoming product evaluations at customer sites.Your Skills and Expertise To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications:Bachelor’s Degree or higher in a Science or Engineering disciplineTwo (2) years of bioprocess development and/or manufacturing science and technology (MSAT) experience in a commercial environmentTwo (2) years of key account customer support and engagement internal and external in molecule pipeline and expected revenue schemesExperience in on-site and remote support to biopharmaceutical companies (start-ups to GKAs) for filter selection and sizing, process optimization, troubleshooting, and scale-upExperience supporting the customer through FDA drug approval process in proteins, vaccines, and viral vectors in recombinant protein biopharmaceutical processExperience in Virus filtration AND sterile filtrationExperience evaluating filtration steps to optimize key process parameters with a distinct focus on process economics modelingExperienced in analytic methods to characterize process fluids such as HPLC, KTA , ELISA, PCR and DLSAdditional qualifications that could help you succeed even further in this role include:Ph.D. in Chemical Engineering, Biochemical Engineering, Bioengineering, or related discipline from an accredited institutionWorking knowledge of advanced modality processing such as gene and cell therapyWorking knowledge of protein purification processesTrack record of technical collaborations across internal and external organizations, professional technical conference presentations and peer-reviewed publications.Work location:Remote San Francisco Bay, California AreaTravel: To customer sites within San Francisco Bay and surrounding areas. 10% Domestic and international travel maybe includedRelocation Assistance: May be authorizedSupporting Your Well-beingSolventum offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope.Applicable to US Applicants Only:The expected compensation range for this position is $137,439 - $167,981, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.solventum.com/en-us/home/our-company/careers/#Total-RewardsResponsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers.Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains.Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.Solventum Global Terms of Use and Privacy StatementCarefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms.Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with theterms.

ADVANCING OUR OPERATIONSIn order for us to complete our missions, our technology simply cannot fail. Covering a wide range of specialties ranging from aeronautical and computer systems to flight test and mechanical, Developmental Engineers provide advanced skill and knowledge of their particular specialties. Responsible for everything from the planning to implementation of their projects, these experts are essential to the success of operations all over the world.REQUIREMENTSYou must meet several requirements before joining the Air Force. These concern your background, overall health and other standards set by the Air Force, Department of Defense and federal law.Minimum EducationBachelor’s degree in engineering related to one of the following specialties: aerospace, aeronautical, astronautical, computer, electrical, electronics, communication or mechanicalQualificationsCompletion of the Defence Acquisition UniversityFundamentals of SystemsAcquisition Management course or Acquisition Fundamentals courseCompletion of the Air Force Flight Test Engineer course or comparableMinimum of 24 months of experience in qualified position or a master’s degree in a specified discipline and 12 months’ experience or a Doctor of Philosophy degree in a specified disciplineCompletionof Officer Training School (OTS), AirForce Academy (AFA) or AirForce Reserve Officer Training Corps (AFROTC)Must be between the ages of 18 and have not reached your 42ndbirthday

In our ‘always on’ world, we believe it’s essential to have a genuine connection with the work you do.RUCKUSNetworks builds and delivers purpose-driven networks that perform in the tough, unique environments of the industries we serve. Leveraging network assurance and enterprise-wide automation driven by AI and machine learning (ML), we empower our customers to deliver exceptional experiences for every employee, guest, customer, student and resident who counts on those networks to connect with their digital lives.We are seeking DistinguishedWiFi Engineer to join our dynamic team in Sunnyvale, CA. In this role, you will drive the architecture, design, and development of cutting-edge, carrier-grade wireless access points, enabling enterprises and carriers to stay ahead of the rapidly growing demand for high-bandwidth applications.How You'll help us connect the world:Design and develop WiFi features that align with evolving standards, focusing on high performance, low latency, and guaranteed service delivery.Collaborate with chip vendors to drive innovation, enhance SDKs, and support multi-platform, multi-standard solutions.Work closely with product management to shape the feature roadmap and align with market needs.Collaborate across teams to manage project deliverables, dependencies, milestones, and product optimization.Lead technical reviews and architectural discussions to guide the team in adopting the best solutions.Act as a technical anchor, guiding the team and focusing on customer-driven outcomes.Partner with system engineers and product managers to meet customer requirements.Identify, hire, and mentor top engineering talent, building a strong team focused on continuous innovation.Required Qualifications:Bachelor's or Master's Degree in Networking or Wireless and 10+ years of relevant experience.In-depth knowledge of WiFi access point (AP) architecture and WiFi standards.Experience in guiding architectural and design changes in WiFi AP products.Expertise in embedded systems, kernel, and device drivers.Proven experience with SDK integration across multiple platforms.Ability to thrive in a fast-paced, innovative environment, pushing the boundaries of technology.A strong mentor with a passion for building and leading talented, high-performing teams.THIS IS A HYBRID ROLE needs to be in the office 3 days a week.#LI-RB1#LI-HYBRIDOur salary ranges consider a wide variety of factors, including but not limited to benchmarking by independent third-party consultants, skill sets, years of experience, training, education, geography, and other business needs. Depending on experience, the range can be higher for candidates with exceptional experience and a demonstrated history of successful performance. This position's expected total compensation (base salary and commission range) is $160,000.00-$225,000.00 The candidate will be rewarded with a comprehensive benefits package, including medical, dental, and vision plans, life and accidental death insurance, a 401(k) plan, and participation in the Company’s Incentive Plan. Candidates starting with the Company will be eligible for eleven paid holidays in a full calendar year, two weeks of paid vacation (prorated based on start date), as well as other leave options.What Happens After You Apply Learn how to prepare yourself for the next steps in our hiring process by visiting https://jobs.commscope.com/content/How-We-Hire/ locale=en_USWhy CommScope CommScope is on a quest to deliver connectivity that empowers how we live, work, and learn.Our employees push the boundaries of communications technology that enables game-changing discoveries like 5G, the Internet of Things, and gigabit speeds for everyone, everywhere.With our unmatched expertise in copper, fiber, and wireless infrastructure, our global clients rely on us to outperform today and be ready for the needs of tomorrow. If you want to grow your career alongside bright, passionate, and caring people who strive to create what's next..come connect to your future at CommScope. CommScope is an Equal Opportunity Employer (EEO), including people with disabilities and veterans. If you are seeking an accommodation for the application or interview process, please contact us to submit your request at . You can also learn more about CommScope’s accommodation process and EEO policy athttps://jobs.commscope.com/eeo

Your Role The Data Services Quality Engineering team is part of the BSC Data & Analytics Organization. We provide testing services for Data & Analytics projects. The data is sourced from various internal and external applications and loaded to the consumption layer. The Quality Engineer, Senior, will report to the IT Manager. In this role you will be working with Data & Analytics, Data Engineering, Data Analysis, Application, and Business teams. Your Work In this role, you will: Develop test scenarios and underlying test scripts (Functional and SIT) based on provided requirements/design documentation and business inputAttend requirement sessions and evaluates requirements for testabilityCreate traceability from development hand off through testingParticipate in design sessions to understand implications of design to testingProvide test estimates for large initiatives as requested under the guidance of testing leadershipReview Business Requirement Document (BRD), Technical Design Document (TDD), Data Model, Source-to-target mapping document (STTM)Prepare Test Plans, Test Scenarios, Test Data, Test Cases, Test Scripts based on BRD, TDD, STTMReview test artifacts with business users and technical teamMaintain test cases in test management system and track defects in JIRAConduct daily defect calls with IT PM, Development team and Business teamProvide test reports/status to Test Lead, IT PM and discuss roadblocks if necessaryPerform root-cause analysis for the defects/issues and provide solution if requiredFollow best practices and maintain quality assurance standardsWork closely with cross-functional counterparts in business, development, release and project managementHave proficiency working in Agile methodologyProvide overall technical leadership across multiple projects simultaneouslyHave thorough understanding of automation frameworks and ability to design, develop and maintain automation frameworkExecute and maintain test scripts in the automation framework for regression and smoke testing of various BSC applicationsHave the ability at applying advanced professional principles and concepts to complex work assignmentsParticipate and present in automation code reviewsAssess suitability of manual test cases for automation Your Knowledge and Experience Requires a bachelor's degree, preferably in Computer Science, or equivalent experience and a minimum of 5 years of prior relevant experience5 years of Quality Engineering experience, with 4 years of experience in Data Warehousing preferredPrefers at least 1 year of experience in Cloud Data Platform Testing with Azure Data Lake Storage (ADLS) Gen2 and data pipeline development using DBT Cloud/Core tool on Snowflake DBKnowledge of ETL processes, Relational Database Design Methods (Snowflake/Star Schema), Slowly Changing Dimensions etc.Ability to analyze error logs in UNIX, update shell scripts, and create SQL scriptsAbility to perform automated regression testing in all non-production environmentsExcellent written and oral communication skillsHealthcare domain experience is preferable but not requiredPreferred experience working on at least one large data warehouse project/initiativeHands-on experience in using Informatica or similar ETL toolAnalyzing and writing testing cases based on ETL specifications/ Source-to-Target Mapping documentsKnowledge of data & analytics in cloudDemonstrate a mindset of continuous improvement in process/technology etc.Experience with coding in python or any other object-oriented programming language is preferred Pay Range The pay range for this role is: $ 99000.00 to $ 148500.00 for California. Note Please note that this range represents the pay range for this and many other positions at Blue Shield that fall into this pay grade. Blue Shield salaries are based on a variety of factors, including the candidate's experience, location (California, Bay area, or outside California), and current employee salaries for similar roles. #LI-EB1

We are now looking for a Senior Power Architecture and Optimization Engineer! NVIDIA prides ourselves in having energy efficient products. We believe that continuing to maintain our products' energy efficiency compared to competition is key to our continued success.Our team is responsible for analyzing fullchip and unit-level power data, and driving ASIC teams to improve their units’ power efficiency; and is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient. Key responsibilities include developing techniques to model, analyze, and reduce power consumption of NVIDIA GPUs. As a member of this team, you will collaborate with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to study and implement power analysis and reduction techniques for NVIDIA's next generation GPUs and Tegra SOCs. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.What You'll Be Doing:Use internally developed tools and industry standard pre-silicon gate-level and RTL power analysis tools, to help improve product power efficiency.Develop and share best practices for performing pre-silicon power analysis.Perform comparative power analysis, to spot trends and anomalies, that warrant more scrutiny.Interact with architects and RTL designers to help them interpret their power data and identify power bugs; drive them to implement fixes.Select and run a wide variety of workloads for power analysis.Prototype a new architectural feature in Verilog and analyze power.Automate flows, define new flows to fast-track Power anomaly detection.Use AI to come up with Power optimization solutions. What We Need To See:MS (or equivalent experience) with 3+ years of experience or PhD in related fields.Strong understanding of concepts of energy consumption, estimation, data movement and low power design.Familiarity with Verilog and ASIC design principles, including knowledge of Power Artist, PTPX (Prime Power RTL, RTL Architect).Good verbal/written English and interpersonal skills; much collaboration with design teams is expected.Strong coding/automation skills, preferably in Python, Perl, and C++.Desire to bring data-driven decision-making and analytics to improve our products.The base salary range is 128,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Overview: GovCIO is currently hiring for telecommunications engineerto provide deployment support to our federal customer. This position will be located in San Francisco, CA and will be an onsite position. Responsibilities: Performs a variety of electronic and technical assignments on data communications equipment and systems. Completes terminal troubleshooting using appropriate diagnostic equipment. Installs terminals, controllers, and test equipment and restores nonworking lines and/or equipment to working condition. Maintains liaison with outside vendors and orders circuits and/or equipment as required. Requires knowledge of specific modems, test equipment, and terminal configuration. May develop recommendations for the combined usage of data processing and telephone system hardware and software.Conducts site surveys and meets contacts like clients, construction crew members, utility company personnel, and people from other departments within the Company.Installs, moves, and modifies telecommunications and related equipment according to job order specifications, standards, and procedures.Undertakes telecommunications systems upgrade and answers queries related to system controls, and maintenance of the system in general.Diagnoses equipment malfunctions. Maintains and repairs telecommunications systems and equipment according to manufacturer recommendations and specifications.Reports and monitors service order changes.Be responsible for general local video operations and maintenance support as part of normal IT site support duties. This task does not include designing, engineering, specifying or acquiring video equipment. This support shall include basic troubleshooting of system problems and repairs, when they are identified by enterprise video support staff.Work with enterprise level voice and video engineers and technicians to conduct more detailed remote troubleshooting and repairs.Assist in setting up presentation devices and Video Conference units and provide basic troubleshooting support as needed. This includes ensuring functionality, being available for events, and shutting down video conferences.Perform local voice operations and maintenance support related to videoteleconferences. This support shall include basic troubleshooting of system problems and repairs whenthey are indicated by enterprise voice support staff. This task does not include designing, engineering,specifying or acquiring voice communications equipment.#NEON #NSS Qualifications: High School with 0-3 years (or commensurate experience)Understand the purpose of these technologies and have some experience with them, or with equivalent technologies:Cisco IP audio and video enpoints, Unified Call Manager (CUCM), Expressway Meeting Server (CMS), Meeting Management (CMM), Telepresence Management Suite (TMS), Prime, and Identify Services Engine.Broadsoft CloudMicrosoft System Center Configuration Manager (SCCM)Avaya technologies including audio/video components, Communicator, One-X, Application Enablement Server (AES), and the following at version 6.0 or above: Communications Manager, Session/System Manager, and Aura Messaging.Polycom DMA, Real Presence, and endpointsSolarwindsSplunk (syslog)CyberArkICAM / Single Sign On methodologies (SSO) / CertificatesInfoBlox / AkamaiSIP routing, dial pattern and number translations, E.164 routing, PRI as well as standards-based codecs, to include codecs from Cisco and PolycomVideo Conferencing Services (VCS) infrastructureUnified Communications and Video conferencing, including but not limited to: Cisco Unified Communications Manager, Unity Connection, TEAMS, UCCX, Expressways, Jabber Client, SIP, H.323, and QoSSession Border Controllers (SBC), Cisco Unified Border Elements (CUBEs)Preferred Skills and ExperienceCCNA or aboveClearance required: Must be able to obtain and hold a public trust clearance. Company Overview: GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens.But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer We are an Equal Opportunity Employer.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. Posted Pay RangeThe posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an “at-will position” and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. Posted Salary Range: USD $70,000.00 - USD $70,000.00 /Yr.

In our ‘always on’ world, we believe it’s essential to have a genuine connection with the work you do.Lead Cloud Innovation with Ruckus: Build the Scalable Platform of the Future.RUCKUS Cloud,our AI-enabled converged network management as-a-service platform, simplifies deployment, monitoring and management of your single-site or geographically distributed multi-site wired and wireless networkJoin our elite team of engineers to architect and build the next-generation platform that will redefine our industry. You'll be at the forefront of innovation, tackling complex challenges and driving cutting-edge solutions.This project offers interesting opportunities for building an innovative platform. We are looking for an innovative engineer who see the big picture, can span the breadth of the product, jump into the depths of different topics and bring fresh ideas into various areas and ultimately able to lead the team through innovations.How You’ll Help Us Connect the World:You'll play a key role in architecting, designing, building, and deploying large-scale systems.You will be involved with our fast-paced releases. The role requires hands-on development. The role requires a deep understanding cloud-related technology, highly scaled SaaS services background and management platforms. Architecting the Future: Collaborate with brilliant engineers to design and evolve our scalable platform. Your technical expertise will be instrumental in making strategic decisions about cloud architecture, scaled services, and system design.Problem-Solving Innovator: Partner with product leaders to identify critical business needs and devise creative solutions. You'll design efficient workflows, bridge gaps, and deliver high-quality software that powers our platform.Technical Leadership: Mentor and inspire your team. Share your knowledge, provide constructive feedback, and foster a culture of innovation.What You'll Bring:A deep understanding of cloud technologies and distributed systemsStrong technical skills in [relevant programming languages, e.g., Python, Java, Go]Experience with [specific technologies or frameworks, e.g., Kubernetes, AWS, GCP]A passion for solving complex problems and a knack for simplifying complex conceptsExcellent communication and collaboration skillsREQUIRED QUALIFICATIONS:Deep expertise in Java (10 years), Spring Boot, Kubernetes, and cloud-native technologies.Design and implement innovative microservices architectures leveraging cutting-edge technologies.Develop high-performance, scalable services that can handle millions of users.Utilize cloud platforms like AWS, GCP, Azure, and OpenStack to deliver robust solutionsBuild and maintain robust APIs using technologies like RabbitMQ, Kafka, NATS, Redis, and Memcached.Implement secure authentication and authorization mechanisms using OAuth, OpenID, and SAML.Work closely with cross-functional teams to deliver exceptional results.A keen eye for detail to ensure high-quality code and system reliability.The ability to embrace change and learn new technologies quickly.THIS IS HYBRID ROLE. LOCAL CANDIDATES ONLY. NO THIRD PARTY AGENCIES PLEASE.#LI-RB1#LI-HYBRIDOur salary ranges consider a wide variety of factors, including but not limited to benchmarking by independent third-party consultants, skill sets, years of experience, training, education, geography, and other business needs. Depending on experience, the range can be higher for candidates with exceptional experience and a demonstrated history of successful performance. This position's expected total compensation (base salary and commission range) is $170,000.00-$220,000.00The candidate will be rewarded with a comprehensive benefits package, including medical, dental, and vision plans, life and accidental death insurance, a 401(k) plan, and participation in the Company’s Incentive Plan. Candidates starting with the Company will be eligible for eleven paid holidays in a full calendar year, two weeks of paid vacation (prorated based on start date), as well as other leave options.What Happens After You Apply Learn how to prepare yourself for the next steps in our hiring process by visiting https://jobs.commscope.com/content/How-We-Hire/ locale=en_USWhy CommScope CommScope is on a quest to deliver connectivity that empowers how we live, work, and learn.Our employees push the boundaries of communications technology that enables game-changing discoveries like 5G, the Internet of Things, and gigabit speeds for everyone, everywhere.With our unmatched expertise in copper, fiber, and wireless infrastructure, our global clients rely on us to outperform today and be ready for the needs of tomorrow. If you want to grow your career alongside bright, passionate, and caring people who strive to create what's next..come connect to your future at CommScope. CommScope is an Equal Opportunity Employer (EEO), including people with disabilities and veterans. If you are seeking an accommodation for the application or interview process, please contact us to submit your request at . You can also learn more about CommScope’s accommodation process and EEO policy athttps://jobs.commscope.com/eeo

Your Role The Data Center and Infrastructure team is responsible for the design, engineering, administration, and support of corporate WAN, LAN and network infrastructure. The Network Engineer, Principal will report to the Director, Technical Operations. In this role you will provide network architecture and design, implement network infrastructure, and provide 3rd level support to enhance the corporate network and its capabilities. Your Work In this role, you will: Be the SME in network hardware, software, and technologiesCreate a robust, supportable network infrastructure to better the users’ experienceCarry out operational, strategic activities, and change management of all impact and risk levelsDevelop and maintain technology roadmapsEngage in Incident Response, Audit, and Disaster Recovery practicesDefine, publish, and maintain network infrastructure standards, and operational documentationLead proof-of-concept and prototyping efforts in both an infrastructure design and engineering capacity including collecting, analyzing, and documenting resultsSocialize and promote Network technology offeringsCommunicate with stakeholders regarding network technology planning, design, requirements, and development activitiesPerform periodic and emergency system maintenance, minimizing business impact to the greatest extent possible, as well as troubleshoot and resolve hardware, software, or other related issuesInfluence, review and approve support contractsOversee third-party vendors’ performance Your Knowledge and Experience Requires a college degree or equivalent experience and minimum 10 years of prior relevant experiencePrefers a minimum of 7 years of experience in architecting, designing, and implementing network infrastructurePrefers a minimum of 7 years of experience with routers and switches, firewalls, WAN optimizers, Load Balancers, MPLS circuits, VPNPreviously worked utilizing the Agile methodologyImplementation of IDS/IDP/CTI a plusStrong communication and presentation skills to all levels of IT management and stakeholders Pay Range The pay range for this role is: $ 145970.00 to $ 218900.00 for California. Note Please note that this range represents the pay range for this and many other positions at Blue Shield that fall into this pay grade. Blue Shield salaries are based on a variety of factors, including the candidate's experience, location (California, Bay area, or outside California), and current employee salaries for similar roles. #LI-EB1

NVIDIA is hiring senior software engineers to build and optimize the tools Deep Learning engineers use across the world to design, develop, and deploy AI applications. We are an ambitious, forward-thinking and diverse team that influences all areas of NVIDIA's AI platform and directly contributes to premiere Deep Learning frameworks - PyTorch, JAX and TensorFlow. We work with multiple teams both inside and outside of NVIDIA across fields, as well as collaborate with the open-source community to optimize the best AI platform in the world!What you will be doing:Develop and optimize open-source libraries, like Transformer Engine, which enables the fastest training of Large Language Models using low precision data formats, and TensorFlow Distributed Embeddings, providing ability to easily scale training of huge recommender systems on multiple GPUs.Study and tune Deep Learning training workloads at large scale, including important enterprise models.Build and support NVIDIA submissions to community benchmarks like MLPerf.Optimize the performance of influential, modern Deep Learning models coming out of academic and industry research, for NVIDIA GPUs and systems.Explore new technologies and advise design of new hardware generations and core platform software components.What we need to see:BS in Computer Science, Electrical Engineering or a related field (or equivalent experience).Demonstrated ability with 6+ years of C++ and Python programming.Strong background with parallel programming, preferably on GPUs.Knowledge of Computer Architecture and/or Operating Systems.Proven experience developing large software projects.Excellent verbal and written communication skills.Ways to stand out from the crowd:Experience with Deep Learning Frameworks, like PyTorch, JAX, Tensorflow or MXNet.Experience training language models.Background with performance analysis and profiling of workloads.Participation in the open-source community.Proven experience working with multidisciplinary teams.The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

In our ‘always on’ world, we believe it’s essential to have a genuine connection with the work you do.Lead Cloud Innovation with Ruckus: Build the Scalable Platform of the Future.RUCKUS Cloud,our AI-enabled converged network management as-a-service platform, simplifies deployment, monitoring and management of your single-site or geographically distributed multi-site wired and wireless network.How You'll help us connect the world:We manage millions of access points (APs) worldwide, focusing on user-friendly interfaces. Operating as an agile, startup-like team backed by a large company, we seek hands-on developers with expertise in management platforms, UX trends, and modern UI technologies.Responsibilities:Design and implement service management UIs. Guide and support multidisciplinary team members. Troubleshoot and resolve technical issues. Collaborate with Dev Test and DevOps teams.Minimum Qualifications:5+ years in web application development. Expertise in JavaScript frameworks (e.g., AngularJS, React). Proficiency in Object-Oriented JavaScript, HTML5, CSS3, REST, and JSON. Bachelor’s degree in Computer Science or equivalent experience.You'll excite us if you have:Experience with AngularJS, Bootstrap, SASS, Node.js, and HighCharts. Familiarity with Angular and server-side development (Java/.NET). Background in cloud-based apps, APIs, and network management systems (FCAPS). Attention to usability and design aesthetics. Ability to see the big picture while managing details.THIS IS HYBRID ROLE. LOCAL CANDIDATES ONLY. NO THIRD PARTY AGENCIES PLEASE.#LI-RB1#LI-HYBRIDOur salary ranges consider a wide variety of factors, including but not limited to benchmarking by independent third-party consultants, skill sets, years of experience, training, education, geography, and other business needs. Depending on experience, the range can be higher for candidates with exceptional experience and a demonstrated history of successful performance. This position's expected total compensation (base salary and commission range) is $140,000.00-$180,000.00 The candidate will be rewarded with a comprehensive benefits package, including medical, dental, and vision plans, life and accidental death insurance, a 401(k) plan, and participation in the Company’s Incentive Plan. Candidates starting with the Company will be eligible for eleven paid holidays in a full calendar year, two weeks of paid vacation (prorated based on start date), as well as other leave options.What Happens After You Apply Learn how to prepare yourself for the next steps in our hiring process by visiting https://jobs.commscope.com/content/How-We-Hire/ locale=en_USWhy CommScope CommScope is on a quest to deliver connectivity that empowers how we live, work, and learn.Our employees push the boundaries of communications technology that enables game-changing discoveries like 5G, the Internet of Things, and gigabit speeds for everyone, everywhere.With our unmatched expertise in copper, fiber, and wireless infrastructure, our global clients rely on us to outperform today and be ready for the needs of tomorrow. If you want to grow your career alongside bright, passionate, and caring people who strive to create what's next..come connect to your future at CommScope. CommScope is an Equal Opportunity Employer (EEO), including people with disabilities and veterans. If you are seeking an accommodation for the application or interview process, please contact us to submit your request at . You can also learn more about CommScope’s accommodation process and EEO policy athttps://jobs.commscope.com/eeo

We’re currently seeking a Senior Developer Technology Engineer, Artificial IntelligenceWould you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures Is it rewarding to investigate, find, and eliminate system bottlenecks to achieve the best possible performance of computer hardware Could you be thrilled about an opportunity to partner with the Developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA If so, the Developer Technology Team invites you to consider this role.What you will be doing:In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure the best possible AI solutions on modern CPU and GPU architectures.Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community.Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.What we need to see:A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or additional equivalent experience).You have 8+ years of relevant work experience or research.Programming fluency in C/C++ with a deep understanding of algorithms and software development.A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.Hands on experience doing low-level performance optimizations.In-depth expertise with CPU and GPU architecture fundamentals.Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.Ways to stand out from the crowd:Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.Excellent understanding of linear algebra.NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Learn More About Internship Programs at CommScopeAs CommScope designs and builds connectivity for the world's most advanced networks, we're building something equally as important: careers for forward-thinking college students like you. Our Summer Internship Program is designed to provide you an invaluable work experience through completing meaningful projects to help you grow and develop.Throughout the 12-week program, you will collaborate with some of the best in the industry, receive on-the-job training, and participate in professional development workshops, executive speaker series, and other networking and social events!How You’ll Help Us Connect the WorldAs a Software Engineering Intern, you will be responsible forcreating tools that make it easy to build robust integration solutions. You will develop, build, and maintain metrics and reports to administer tools which will automate operational activities and improve engineering productivity. You will also have a chance to automate continuous delivery and on-demand capacity management solutions, troubleshooting, diagnosing and fixing software issues, and design and implement tools for automated deployment.You will work closely with senior level engineers in Cloud CICD and DevOps team members. This role will be based in Sunnyvale, CA.You Will Make an Impact ByImproving existing designs to enhance tools performance and software qualityAutomating processes while documenting the stepsInitiating, executing, and reviewing test plans and results as requiredAnalyzing product and/or tools level failures for root causeRequired Qualifications for ConsiderationJunior or Senior standing in a BS, BA or master’s degree in Computer Science, Electrical Engineering or Computer Engineering from an accredited universityProven strong academic performer with a minimum GPA of 3.0Strong Python programming skillsGood Understanding and some working knowledge of Kubernetes and docker containersAbility to work in the US without sponsorship now or in the futureYou Will Excite Us If YouDemonstrate strong leadership, interpersonal and communication skillsShow innovation through unique ideas and propose them to the teamHave experience with Machine Learning and AIWhat happens after you applyLearn how to prepare yourself for the next steps in our hiring process by visitinghttps://careers.commscope.com/how-we-hire.Why CommScopeCommScope is on a quest to deliver connectivity that empowers how we live, work, and learn.Our employees push the boundaries of communications technology that enables game-changing discoveries like 5G, the Internet of Things, and gigabit speeds for everyone, everywhere.With our unmatched expertise in copper, fiber, and wireless infrastructure, our global clients rely on us to outperform today and be ready for the needs of tomorrow. If you want to grow your career alongside bright, passionate, and caring people who strive to create what's nextcome connect to your future at CommScope. CommScope is an Equal Opportunity Employer (EEO), including people with disabilities and veterans. If you are seeking an accommodation for the application or interview process, please contact us to submit your request at . You can also learn more about CommScope’s accommodation process and EEO policy at careers.commscope.com/eeo

We are hiring senior engineers to work on the CUDA driver and runtime, core components of our platform for accelerating general purpose computation on the GPU. Our team analyzes performance of applications, investigates bottlenecks in software or hardware and delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality.CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, and the operating system.What you'll be doing:As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world. You will craft elegant solutions to exciting problems and craft the future direction of CUDA as you collaborate with your peers across NVIDIA. You will investigate complex performance problems and deliver robust solutions that accelerate applications.Evangelize, architect, and implement new featuresOversee and drive development efforts across multiple teamsAnalyze full stack performance ranging from application level through libraries, system software, kernel software and hardwareDefine forward-looking improvements to the CUDA APIs and programming modelCreate novel system software optimizationsWrite effective, maintainable, and well-tested codeDevelop code for multiple operating systemsWhat we need to see:BS or MS degree in Computer Science, Electrical Engineering (or equivalent experience)5+ years of related development experienceStrong C programming skillsExperience working with large codebasesTrack record of debugging performance problems in complex environments with software and hardware componentsExperience with operating system interfaces for threads, process control, and virtual memoryExperience writing and debugging multithreaded programsDeep understanding of technology and passionate about what you doStrong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment. Good written communication.Ways to stand out from the crowd:Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IOExperience with performance tuning of device drivers or low level system softwareExperience with performance optimizations across a variety of CPU architectures - like x86, POWER and ARMKnowledge of memory coherence and consistency modelsExperience with Windows, Linux, or macOS driver developmentNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and hardworking people in the world working for us. If you're creative and autonomous, and are interested in working on novel problems in a collaborative environment, we want to hear from you!The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We're now looking for a Senior Deep Learning Software Engineer for our cuDNN team!Do you love writing fast code and crafting software systems to solve complex problems We are looking for hardworking software engineers to help design, build, and ship cuDNN: our GPU-accelerated library of primitives for deep neural networks. Intelligent machines powered by AI computers that can learn, reason, and interact with people are no longer science fiction. This is truly an extraordinary time. The era of AI has begun, and we are powering it. If this role seems like a good match for your skills and interests, tell us why you think you might be a great fit for our team, and we'd love to tell you more about what we do!What you’ll be doing:Develop production-quality software that ships as part of NVIDIA's AI software stack, including cutting edge large language model support.Analyze the performance of important workloads, tuning our current software, and proposing improvements for future software.Work with cross-collaborative teams of deep learning software engineers and GPU architects to innovate across applications like large language models, autonomous driving, computer vision, and recommender systems.Adapt to the constantly evolving AI industry by being agile and excited to contribute across the codebase, including API design, software architecture, testing, and GPU kernel development.Mentoring junior engineers on the team.What we need to see:M.S. Degree in Computer Science, Electrical Engineering (or similar), or equivalent experience.4+ years of relevant work or research experience.Strong programming skills in C/C++ development, work experience with CUDA development, and familiarity with Python.Good understanding of linear algebra.Familiarity with the latest trends in machine learning, especially in large language models.Experience designing high level software architecture.Excellent problem solving skills, including applications of algorithms and data structures.Experience with performance analysis, profiling, and code optimization.Ability to work independently, define project goals and scope, and lead your own development effort.Ways to stand out from the crowd:GPU programming and optimization expertise (e.g. CUDA or OpenCL).Practical experience with machine learning, especially deep learning.Strong Experience with data science, statistical analysis, and visualization.Previous work on large complex codebases with many other developers, especially libraries, compilers, or system software.Track record of identifying new technologies and incorporating them into software development flows.The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We're now seeking a Senior Deep Learning Engineer for Agentic AI. At NVIDIA, we are at the forefront of advancing the capabilities of artificial intelligence. We are seeking an ambitious and forward-thinking senior deep learning engineer to contribute to the development of next-generation optimizations aimed at efficiently serving generative AI at scale. In this role, you will be developing and exploring new cutting-edge AI optimization techniques, operating at the intersection of algorithms, systems, and silicon.As NVIDIA makes significant strides in AI datacenters, our team holds a central role in maximizing the efficiency of our exponentially growing datacenter deployments and establishing a data-driven approach to hardware design and system software development. We collaborate extensively with diverse teams at Nvidia, spanning deep learning research and framework development teams, to silicon architecture. Thriving in such a high-impact, interdisciplinary environment necessitates not only technical proficiency but also a growth mindset and a pragmatic attitude qualities that fuel our collective success in shaping the future of datacenter technology.What You'll Be Doing:Keeping abreast of the latest advancements in generative AI research.Implementing and benchmarking cutting-edge large language and multi-modal models and Agentic AI systems, analyzing their emergent patterns and system performance bottlenecks.Pioneering the development of innovative optimizations to effectively lower the operational costs associated with deploying generative AI models at large scale.Collaborating closely with production teams to incorporate the latest advancements into cutting-edge hardware and/or software frameworks.What We Need to See:A minimum qualification of a master’s degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied Mathematics, or related fields.Strong foundation in deep learning, with a particular emphasis on generative models.A track record of at least 5 years of relevant software development experience in modern deep learning frameworks such as PyTorch.Growth mindset and pragmatic attitude.Ways to Stand Out from the Crowd: Published research or noteworthy contributions to the field of deep learning, particularly around algorithm development for efficient deployment at scale.Experience with building, benchmarking and analyzing performance AI Agentic systems or benchmarking accuracy and performance of AI models.Experience with CUDA programming and GPU performance optimizations.Familiarity with computer architecture and how it relates to AI algorithms development.NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a Senior Verification Engineer to join our Display Team! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence!In this role, you will work closely with Architects and ASIC Engineers to define and implement test plan, own all tasks involved in verification sign off to deliver high quality IPs, which are used in NVIDIA products around the world.What you’ll be doing:Develop and craft testplans based on architecture and microarchitectural specs. Drive testplan reviews with design/architecture teams.Develop testbenches and checkers based on UVM methodology.Develop RISCV microcode and tests in System Verilog & C/C++.Monitor the overall health of IP by defining and tracking verification metrics. Analyze functional/code coverage and work with design engineers to close coverage.Participate in the research of verification methodology to improve automation, productivity, and efficiency.Develop infrastructure and test suite to validate display performance.Collaborate with teams across multiple sites.What we need to see:BS/MS or equivalent experience in Electrical Engineering, Computer Engineering, or related field with at least 6+ years of proven experience.Background in verification using random stimulus along with functional coverage and assertion-based verification methodologies.Experience with test bench environments for unit and system level verification.Expertise in System Verilog.Good debugging and problem solving skills.Perl/Python and C/C++ programming language experience.You have excellent written, verbal and technical interpersonal skills.Demonstrate use of out-of-box thinking for creative solutions to highly sticky problems.Ways to stand out from the crowd:Outstanding programming skills in Python, C/C++ is a huge plus.Consistent track record to work independently as well as in a multi-disciplinary group environment.You are a strong self-starter who loves to solve complicated problems.Familiarity with pixel processing, ISO performance testing and high level synthesis based designs.#LI-HybridThe base salary range is 164,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Senior Performance Software Engineer for Deep Learning Libraries! Do you enjoy tuning parallel algorithms and analyzing their performance If so, we want to hear from you! As a deep learning library performance software engineer, you will be developing optimized code to accelerate linear algebra and deep learning operations on NVIDIA GPUs. The team delivers high-performance code to NVIDIA’scuDNN,cuBLAS, andTensorRTlibraries to accelerate deep learning models. The team is proud to play an integral part in enabling the breakthroughs in domains such as image classification, speech recognition, and natural language processing. Join the team that is building the underlying software used across the world to power the revolution in artificial intelligence! We’re always striving for peak GPU efficiency on current and future-generation GPUs. To get a sense of the code we write, check out ourCUTLASS open-source project showcasing performant matrix multiply on NVIDIA’sTensor Cores with CUDA. This specific position primarily deals with code lower in the deep learning software stack, right down to the GPU HW.What you'll be doing:Writing highly tuned compute kernels, mostly in C++ CUDA, to perform core deep learning operations (e.g. matrix multiplies, convolutions, normalizations)Following general software engineering best practices including support for regression testing and CI/CD flowsCollaborating with teams across NVIDIA:CUDA compiler team on generating optimal assembly codeDeep learning training and inference performance teams on which layers require optimizationHardware and architecture teams on the programming model for new deep learning hardware featuresWhat we need to see:Masters or PhD degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or related field6+ years of relevant industry experienceDemonstrated strong C++ programming and software design skills, including debugging, performance analysis, and test designExperience with performance-oriented parallel programming, even if it’s not on GPUs (e.g. with OpenMP or pthreads)Solid understanding of computer architecture and some experience with assembly programmingWays to stand out from the crowd:Tuning BLAS or deep learning library kernel codeCUDA/OpenCL GPU programmingNumerical methods and linear algebraLLVM, TVM tensor expressions, or TensorFlow MLIRNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

NVIDIA software powers today's breakthroughs in AI! To enable researchers and developers to keep pace with this dynamic field, we seek a technical marketing expert who understands the AI platform software stack and the ecosystem! This role will craft the fundamental technical content educating developers how to write software's using NVIDIA's AI platforms through technical blog posts, user guides, walk-throughs, benchmark and more. This material is essential in mentoring developers about the latest advancements in the NVIDIA AI platform SW. Do you appreciate the value of a well-done design guide If so, we'd like your help empowering developers across deep learning training and inference.What You'll be Doing:Collaborating with internal and external deep learning engineers and researchers to build product-based training material and how-to technical contentBeing the champion for AI among the NVIDIA developer community by interacting and answering questions about the product on Github and other forumsImproving product documentations to be clear and self-explanatoryFacilitating channel customer usability feedback from the external community and partnering with internal teams to improve NVIDIA AI Platforms to be the easiest to useProviding code guidelines to DL developers by implementing samples and proof of concept applicationsBenchmarking and generating data for better positioning of NVIDIA's SW productWhat We Need to See:Bachelor’s degree in Computer Science, Computer Engineering, or similar field or equivalent experience5+ years of meaningful work experience in software development, technical evangelism, technical marketing, developer marketing, or similar at a technology company3+ year of experience with deep learning or machine learningStrong knowledge of Python or C/C++, programming techniques, and software developmentStrength presenting to technical audiences and generating content for developersPrior success in juggling multiple projects at a timeWays to Stand Out from the Crowd:Advanced knowledge of LLMs, modern AI software architecture and cloud APIsExisting public facing technical content, forum contributions or open source projectsFamiliarity with PyTorch, JAX, vLLM or other training & inference frameworks#LI-HybridThe base salary range is 124,000 USD - 247,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is hiring software engineers at all experience levels to build and optimize the tools Deep Learning engineers use across the world to design, develop, and deploy AI applications. This position will embed you in an ambitious and diverse team that influences all areas of NVIDIA's AI platform and directly contributes to premiere Deep Learning frameworks - Tensorflow, PyTorch, and MXNet. In this role you will work with multiple teams at NVIDIA across fields, as well as collaborate with the open-source community to optimize the best AI platform in the world.What you will be doing:Optimize the performance of Deep Learning models for NVIDIA GPUs and systems.Study and tune Deep Learning training workloads at large scale.Optimize production AI models used by enterprise customers and partners.Build and support NVIDIA submissions to community benchmarks like MLPerf.Optimize the performance of influential, contemporary models coming out of academic and industry research, for NVIDIA GPUs and systems.Deliver the benefits of NVIDIA’s latest hardware and platform software innovations to the Deep Learning community.Inform design of new hardware generations, and core platform software components for NVIDIA GPUs and systems.What we need to see:BS or equivalent experience in Computer Science, Electrical Engineering or a related field.2+ years of experience with C++ and Python programming.Strong background with parallel programming, preferably on GPUs.Knowledge of Computer Architecture and/or Operating Systems.Proven experience developing large software projects.Excellent verbal and written communication skills.Ways to stand out from the crowd:Experience in PyTorch, Tensorflow or MXNet.Background with performance analysis and profiling of workloads.Participation in the open source community.Proven experience working with multidisciplinary teams.With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and dedicated people in the world working with us and our engineering teams are contributing to some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative and motivated software engineer with a real passion for building fast software solutions, as well as impacting AI development worldwide, we want to hear from you. The base salary range is 120,000 USD - 230,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI the next era of computing with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.We’re looking for a Senior Optical Mixed Signal Design Validation Engineer to drive development of test methodologies, analysis, and debugging of NVIDIA's electro-optical transceiver modules.What you'll be doing:Develop validation test methods for new photonic designs from the Mixed-Signal Design groupInteract with multi-functional groups to support chip validation and ramp to productionCharacterize fundamental optical, electro-optical, and RF performance of new chip designsValidate, debug, and characterize new analog, photonic, electrical-optical, and mixed-signal designsProvide feedback to designers on silicon performance, design quality, and marginsVerify electrical-optical compliance to industry standardsTrain new engineers in validation practicesWhat we need to see:Master of Science in Electrical Engineering, Physics, Computer Engineering, or equivalent experience.Deep understanding of fundamental optical components and analog circuitsRF testing experience at die or module level8+ years of experience measuring, analyzing, and debugging complex mixed-signal designsExperience with Python, Git, Matlab, or JMPAbility to code scripts for validation, debug, data analysis, and automationExtremely responsive to time sensitive show-stopping issuesConsistent, persistent, and efficientAbility to work in a team environmentDetailed knowledge of optical lab equipmentWays to stand out from the crowd:Optical transceiver performance testing at high data ratesExperience with control loopsWorking knowledge of wafer probe test systems and wafer handlingNVIDIA is widely considered to be the leader of AI computing, and one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you.The base salary range is 164,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is the leader in AI, machine learning and datacenter acceleration. NVIDIA is expanding that leadership into datacenter networking with ethernet switches, NICs and DPUs NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice, join our diverse team today!As a member of the GPU AI/HPC Infrastructure team, you will provide leadership in the design and implementation of ground breaking GPU compute clusters that powers all AI research across NVIDIA. We seek an expert to build and operate these clusters at high reliability, efficiency, and performance and drive foundational improvements and automation to improve researchers productivity. As a Site Reliability Engineer, you are responsible for the big picture of how our systems relate to each other, we use a breadth of tools and approaches to tackle a broad spectrum of problems. Practices such as limiting time spent on reactive operational work, blameless postmortems and proactive identification of potential outages factor into iterative improvement that is key to both product quality and interesting dynamic day-to-day work. SRE's culture of diversity, intellectual curiosity, problem solving and openness is important to our success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to build an environment that provides the support and mentorship needed to learn and grow.What you'll be doing:In this role you will be building and improving our ecosystem around GPU-accelerated computing including developing large scale automation solutions. You will also be maintaining and building deep learning AI-HPC GPU clusters at scale and supporting our researchers to run their flows on our clusters including performance analysis and optimizations of deep learning workflows. You will design, implement and support operational and reliability aspects of large scale distributed systems with focus on performance at scale, real time monitoring, logging and alerting. Additional responsibilities include:Design and implement state-of-the-art GPU compute clusters.Optimize cluster operations for maximum reliability, efficiency, and performance.Drive foundational improvements and automation to enhance researcher productivity.Tackle strategic challenges in large-scale, high-performance computing environments.Troubleshoot, diagnose and root cause of system failures and isolate the components/failure scenarios while working with internal & external partners.Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.Practice sustainable incident response and blameless postmortemsBe part of an on call rotation to support production systemsWrite and review code, develop documentation and capacity plans, debug the hardest problems, live, on some of the largest and most complex systems in the world.Implement remediations across software and hardware stack according to plan, while keeping a thorough procedural record and data log.Manage upgrades and automated rollbacks across all clusters.What we need to see:Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience with a minimum 6+ years of experience designing and operating large scale compute infrastructureProven experience in site reliability engineering for high-performance computing environments with operational experience of at least 5K GPUs cluster.Deep understanding of GPU computing and AI infrastructure.Passion for solving complex technical challenges and optimizing system performance.Experience with AI/HPC advanced job schedulers, and ideally familiarity with schedulers such as Slurm.Solid experience with GPU clusters, and working knowledge of cluster configuration management tools such as BCM or Ansible and infrastructure level applications, such as Kubernetes, Terraform, MySQL, etc.In depth understating of container technologies like Docker, Enroot, etc.Experience programming in Python and Bash scripting.Ways to stand out from the crowd:Interest in crafting, analyzing and fixing large-scale distributed systemsFamiliarity with NVIDIA GPUs, Cuda Programming, NCCL and MLPerf benchmarking.Familiarity with InfiniBand with IBoIP and RDMA.Experience with Cloud Deployment, BCM, Terraform.Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workloads.Familiarity with deep learning frameworks like PyTorch and TensorFlow.Multi-cloud experience.NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.#LI-HybridThe base salary range is 180,000 USD - 419,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a senior software engineer for our Robotics Team! For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, research, and autonomous machines. The team is building a robotics platform for developing the next generation of intelligent robots. NVIDIA’s Isaac Robotics Platform is binding together high-fidelity visual and physical simulation, a high-quality developing platform, hundreds of optimized algorithms to address hard problems in computer vision and artificial intelligence, and a small and powerful computational platform to form the brain of intelligent machines. Our team consists of experts from all over the world and dozens of different fields, and together we want to change the way robots are programmed.What you’ll be doing:Lead the design & development of an AI platform to enable industrial grade robotics solutionDeploy solutions to enable customers to run their AI workflows on the platformDebug, and optimize full software stack from front-end to backendWork closely with dependent teams to drive the project.Responsible for issue management during integration, testing, deployment & quality assurance.What we need to see:BS, MS, or PhD degree in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience)5+ years of work experience. At least 2+ years of experience working on cloud platformsExperience with Docker & Kubernetes used for scalable fault-tolerant service deploymentsExcellent Python programming skills & proficient in other scripting languagesStrong data skills & software designAbility to learn fast & debug complex system issuesAbility to adapt quickly to varying roles & responsibilitiesStrong communication skills & ability to work across teamsWays to stand out from the crowd:Proficiency with container orchestration system such as KubernetesDeployment with various cloud service providers such as AWS, GCP and Microsoft AzureHands-on experience building data platform to scale the AI workflowsDisplay technical ownership in a cross organizational, multi-disciplinary team.Practice leading a software project involving 4 or more engineers.NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are creative and autonomous, we want to hear from you!The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice and join us today!We are looking for mixed-signal/analog design engineers to be part of the team building next generation High Speed IOs for GDDR/HBM Memory Interfaces. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.What you'll be doing:You will be responsible for the development and implementation of high speed interfaces and analog circuits.Hands on experience taking creative integrated circuit designs at data rates of 20Gbps and higher from concept through silicon characterization.Define circuit requirements and complete design from schematic, layout, and verification to characterization.Conduct schematic design of deep-submicron CMOS technologies using Spectre, Hspice or like.Take ownership for the architecture, transistor design and verification using industry standard EDA tools such as Cadence virtuoso.Optimize circuit to meet the specifications for system performance.Work with layout engineers by providing detailed floorplan and guidance for matching and high-speed routings.Provide support for post-silicon bring-up and debugging.What we need to see:Master of Science or foreign equivalent degree in Electrical Engineering, Computer Engineering or related field with strong analog design background (or equivalent experience).5+ years of proven experience in crafting test bench environments for component and top level circuit verification.Strong Mixed-signal/Analog circuit design fundamentals.CMOS Analog / Mixed Signal Circuit Design Experience in deep sub-micron process (especially in FINFET).Experience with design and verification tools (Cadence's IC design environment, analog circuit simulation tools like Spectre, HSpice, Finesim, XA).Behavioral modeling of analog and digital circuits.Strong debugging and analytical skills.Analog simulation for noise analysis, loop stability analysis, ac/dc/tran analysis, monte-carlo, etc.Strong interpersonal skills and ability and dream to work as an outstanding teammate are huge plus.NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you!The base salary range is 164,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI and enabled the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to address, that matters to the world, and that only we can address. This is our life’s work, to amplify human imagination and intelligence, and expand what is possible. We’re seeking strategic, bold, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Make the choice to join us today.We are looking for a Senior Software Engineer to join our mission to continue improving our HPC infrastructure. Our team builds and operates sophisticated infrastructure to enable business critical services and AI applications. You will be working with a team of passionate and skilled engineers that are continuously working to provide better tools to build and manage this infrastructure. Ideal candidate is strong in software development, designing and creating reliable distributed systems, and has the ability to implement well thought out long term maintenance strategy.What you’ll be doing:Design highly available and scalable systems to meet the demands of our HPC clustersEvaluate new and innovative technologies as the landscape evolvesContinuously improve infrastructure provisioning and management using automationSupport a globally distributed, multi-cloud hybrid environment - AWS, GCP and On-premBuild strong cross functional relationships and align with partners across various business unitsEnsure the highest level of up-time and Quality of Service (QoS) to our users through operational excellenceParticipate in team's on-call rotation and be a contact for service incidentsWhat we need to see:10+ years of experience in design, implementation, and delivery of large engineering projectsComfortable with at least two of the following programming languages: Golang, Java, C/C++, Scala, Python, Elixir.Understands scalability challenges and performance of server-side code. Able to craft and develop horizontally-scalable, resilient and performing-under-load systems.Versatile technologist with experience in full software development lifecycle – from inception and design to deployment, operation, and iterative development.Proficient in cloud computing and are hands-on in at least one cloud platform: GCP, AWS, or Azure.Proficient in modern CI/CD techniques, GitOps and Infrastructure as Code(IaC)Strong work ethic and a passion for problem solvingB.S. degree in Computer Science or related technical field (or equivalent experience)Detail oriented with great communication and collaboration skillsWays to stand out from the crowd:Prior experience building solutions for HPC clusters based on Slurm or KubernetesStrong understanding of Linux operation system and TCP/IP fundamentalsThe base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.