Please Accept our Privacy Policy
Upscale, Inc., is building the high-performance infrastructure powering the next generation of artificial intelligence. Backed by over $500M in funding and rapid global adoption, we are scaling systems designed for the world’s most demanding AI workloads.
We focus on first-principles engineering across silicon, systems, and networkingwhere performance, scale, and execution are critical.Our team is talent-dense andhigh-performing. We value ownership, technical rigor, and speed, and we offer the opportunity to work on foundational problems with immediate, real-world impact.
If you’re looking to do high-impact work, move fast, and help define the infrastructure behind the future of AIUpscale is where you can produce meaningful work at the frontierand operate at a high standard.
Position Overview
Senior individual-contributor validation role. You own how data-path features are qualified on our scale-up AI networking platform, from the SAI/SDK programming path through ASIC forwarding and traffic-management behavior. You set the test strategy, own feature readiness and release sign-off, debug the hardest cross-stack failures, and grow the QA engineers around you. Primary depth is traffic management. Feature scope (cycle-accurate model and silicon)
Key Responsibilities
Classification and marking: DSCP and 802.1p to traffic class, trust, TC-to-queue, remarking, port versus switch map binding, classification miss, ACL rewrite
Queueing: unicast and multicast queues, counters, occupancy, watermarks, drops
Scheduling: strict priority, WRR/DWRR, hierarchy, shaping, rate limiting, fairness under oversubscription
Buffering: ingress and egress pools, static and dynamic thresholds, priority groups, headroom, reserved versus shared
PFC and lossless Ethernet: pause, headroom, lossless queues, watchdog, storm and deadlock, DCB
ECN and WRED: thresholds, drop probability, ECT/CE, interaction with DCQCN under RoCEv2
Policing: color-blind and color-aware, CIR/PIR/CBS/PBS, trTCM
Forwarding and counters: L2/L3, ECMP, mirror and sample, telemetry that makes the above observable
Own the validation strategy, test plans, coverage, and release entry/exit criteria for the features above
Qualify lossless and congestion behavior under RoCEv2 and GPU collectives (NCCL/RCCL) at line rate, including incast, PFC headroom, ECN accuracy, and no-drop
Build the frameworks and debug tools the team depends on, including model-based checks of classification, queueing, scheduling, and drop or mark outcomes
Lead root-cause analysis across software, SDK, model, silicon, and Linux, and decide when the spec, the implementation, or the test is wrong
Mentor QA engineers, review their plans and automation, and represent validation in design reviews and the development-to-QA handoff
Support customer deployments, proofs of concept, and field issues on data-path and congestion behavior
Requirements
15+ years in networking software, system validation, or ASIC/platform QA, with a substantial stretch as a senior individual contributor
Deep hands-on traffic management: PFC, scheduling, buffers, classification and marking, queueing, ECN/WRED
Strong L2/L3 and ACL fundamentals, and experience with SAI, a switch SDK, or a NOS such as SONiC or FBOSS
Ownership of validation frameworks and automation, not only test execution
Python or Go at framework-review level; solid Linux and packet- and counter-level debugging
Proven mentoring and influence as an individual contributor, and clear written readiness and root-cause reports
Preferred
Ethernet ASIC QA in L2/L3, buffers, scheduling, and queueing
RoCEv2, RDMA, DCB, PFC tuning, and DCQCN on AI or HPC fabrics; NCCL/RCCL on NVIDIA or AMD GPU clusters
ASIC bring-up, C-model or emulation, and pre-silicon to post-silicon correlation
Buffer and headroom sizing; incast, microburst, and oversubscription debug
Ixia, Keysight, Spirent, or similar line-rate tools
NVLink or ESUN; customer, field, or forward-deployed work is a plus
Where you fall within that range depends on your experience, skills, and impactwe benchmark against internal levels to keep things fair and consistent.
Equal Opportunity
Upscale, Inc., is building a team that reflects a wide range of perspectives, backgrounds, and experiences. We’re proud to be an Equal Opportunity Employer and consider all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, disability, or veteran status.
Accessibility & Accommodations
We’re committed to making our hiring process accessible to everyone. If you need accommodations at any stage, just reach out to us atwe’re happy to help. Note: This inbox is only for accommodation requests.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.