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 168,000 USD - 310,500 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.

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

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Salesforce, Workday, or PayPal among other leading organizations in the California Bay Area (Pleasant Hill, San Francisco, San Jose). Are you eligible You can apply to Year Up United if you are: - 18-29 years old - A high school graduate or GED recipient - Eligible to work in the U. S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree What will you gain Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development & Support - Customer Success - Helpdesk/Desktop Support - Project Management Support - Data Analytics - Quality Assurance - Business Fundamentals - Cyber Security Get the skills and opportunity you need to launch your professional career. 75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.

Network Engineer – Hybrid Position Experience- 6-10+ years Location: Santa Clara, CA Hybrid position- 3-4 days in office per week Required skills Solid routing and switching skills, /troubleshooting Scripting knowledge Incident, Change, Request, Problem Management – SNOW Dashboard Experience Responsibilities: Follow ITIL framework for incident, change, and problem management in SNOW Use monitoring tools (Wireshark, Kentik, Prometheus) Develop automation scripts using Saltstack/Python Deploy enterprise networks using Cisco, Arista, and Mellanox Perform physical rack and stack operations if required for major incidents resolution at DC/Lab Configure and optimize routing protocols (EIGRP, OSPF, BGP) Implement EVPN & VXLAN solutions Collaborate with cross-functional teams to develop and deploy networking solutions that align with business objectives. Monitor network performance and implement improvements to enhance efficiency and reduce downtime. Provide technical support and guidance to team members on networking-related issues. Ensure compliance with industry standards and best practices in network security and management. Document network configurations processes and procedures for reference and training purposes. Stay updated with the latest networking technologies and trends to continuously improve the network Salary and Other Compensation: The annual salary for this position is between $49,001 – $107,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and is subject to the terms of Cognizant’s applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: · Medical/Dental/Vision/Life Insurance · Paid holidays plus Paid Time Off · 401(k) plan and contributions · Long-term/Short-term Disability · Paid Parental Leave · Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship (H-1B, L-1B, L-1A, etc.) #CB #IND123

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 184,000 USD - 425,500 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

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 184,000 USD - 356,500 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 168,000 USD - 310,500 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 168,000 USD - 310,500 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 184,000 USD - 356,500 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: At Powerback, we're on a mission to improve lives. As the leader in physical, occupational, speech, and respiratory therapies, we help older adults stay active and thrive while providing essential therapy for children at home and in school.With over 38 years of trusted service, our reach spans skilled nursing centers, assisted and independent living facilities, outpatient clinics, and home-based care. We're proud to deliver personalized care exactly where and when it's needed most.Join an industry-leading team that restores hope and makes a lasting impact. If you're passionate about making a meaningful difference and want to be part of the future of rehabilitation and wellness, Powerback is the place for you.Why Powerback Benefits: We offer Medical, Dental, and Vision plans to Full-Time and Part-Time team members.Support for New Grads & Clinical Fellows: Our Powerback Clinical Mentorship Program kicks off on day one, helping you learn from the best in the field.Continuing Education: Keep growing with free CEUs through Medbridge.H-1B Visa & Relocation Assistance: We support Visa or Green Card sponsorships, plus our Journey Travel Program lets you work across the U.S. with the security of a full-time role.Perks at Powerback: Enjoy exclusive discounts on Wireless/TV, Home/Auto/Renters and Pet Insurance, Childcare, Eldercare, and more. Earn rewards through our PowerZone Employee Recognition Program, and expand your expertise with our Clinicians in Action professional development program. Responsibilities: Title: Physical TherapistLocation/work environment: In facilityReporting structure: Reporting to Director of RehabPowerback is proud to offer a comprehensive and unique benefits package for those candidates that are qualified, including health insurance benefits, 401k, paid time off, clinical support network, online CEUs, on-demand pay, Visa or Green Card sponsorship, and more! Select benefits are available to part time and PRN employees as well!As a Physical Therapist, you help patients get well. You are the person who can bring their power back. In doing this, you will assess patient needs, develop their recovery plans, and deliver physical therapy.You're a healer and a helper, which is why you got into this line of work.You're equally adept at addressing the whole patient and seeing them as an individual. You know your goal is the design of a program that will restore, reinforce, and enhance their physical abilities.You're adaptable to the needs of the patient and can find joy in the variety of the work and the settings.You're a teammate and are looking for collaboration with your peers, but you're also happy to make referrals to help your patient get the care they need to thrive.You know that being a Physical Therapist means you're a teacher who can train patients and caregivers on the skills they need to promote independence and productivity.If this sounds like you, we'd love to meet you!Powerback Rehabilitation (Powerback) is a new way of delivering recovery, rehabilitation, respiratory, and wellness services to patients across the nation. We deliver an empowered approach to achieving your full potential by providing integrated and individualized solutions. Our reimagined approach to rehabilitation connects directly to the patient experience, which is centered on transforming the road to recovery for everyone and helping patients get their power back. It's patient-centered care that provides a sustainable way of feeling better, moving better, breathing better, and living better.Working in a company that values growth and understands what it means to be a caregiver is refreshing. Our CEO is a former staff therapist. We offer growth, paths forward, and we are committed to patient-centered care. We are growing, stable, and need people like you, who have a calling to help people thrive.Isn't it time for you to work with a team where 86% of them know and feel their work makes a difference So much so, we're certified as a 2023 Great Place to Work.Now is the time for you to join Powerback.Powerback has streamlined our hiring process:Applying takes 3 minutes, give or take.You'll hear back from us within 1 business day.If you meet the qualifications, a recruiter will call you for a 10-minute conversation within 2-3 business days, depending on your availability.You will then be presented to the hiring managerThe hiring manager will reach out within a business day to schedule the interview.This all happens within 1-5 business days from the phone screen.After your interview, the hiring manager makes a quick decision. We aim to accomplish this within the week.If the hiring manager wants to move forward, you will hear from us within a business day, because we are excited to get you started! Qualifications: 1. They must have a valid Physical Therapy license in the state(s) of practice, or proof of license and eligibility.2. They must have a Master's degree in Physical Therapy; or3. They must have a Master's degree in a Physical Therapy related field in addition to a Bachelor's degree in Physical Therapy; or4. They must have a Bachelor's degree in Physical Therapy plus 5 years of progressively responsible PT experience.5. The qualifying Physical Therapy degree earned outside of the U.S. must be evaluated to be the U.S. equivalent to a degree in Physical Therapy. Posted Salary Range: USD $55.00 - USD $58.00 /Hr.