Sr. Principal Engineer, Scale-Up (Data Path Features)

Upscale, Inc.

United States

On-site

USD 263,000 - 284,000

Full time

3 days ago
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Job summary

Upscale, Inc. in the United States is seeking a senior individual-contributor in validation for its high-performance AI networking platform. You will own test strategy, feature readiness, and release sign-off, debugging cross-stack failures, with primary depth in traffic management.

You will mentor QA engineers, build validation frameworks, and collaborate across software, SDK, model, silicon, and Linux to ensure robust data-path behavior under RoCEv2 and NCCL/RCCL workloads.

Qualifications

  • 15+ years in networking software, system validation, or ASIC/platform QA.
  • 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.

Responsibilities

  • 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.
  • 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.

Skills

Networking validation
Traffic management
Python or Go
Linux debugging
Mentoring

Tools

SAI
Switch SDK
SONiC
FBOSS

Job description

Why join Upscale, Inc.

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 networking—where 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 AI—Upscale is where you can produce meaningful work at the frontier—and 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

$263,000 - $284,000 a year

Where you fall within that range depends on your experience, skills, and impact—we 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 athiring@upscaleai.com—we’re happy to help. Note: This inbox is only for accommodation requests.

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