Advanced Micro Devices, Inc

Principal Software Quality Engineer - GPU & Machine Learning

Advanced Micro Devices, Inc • $140K — $180K *
San Jose, CA 95123In-Person
Consumer Technology
Less than 5 years of experience
Reposted Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in machine learning and GPU programming
  • Proficient with deep learning frameworks like TensorFlow and PyTorch
  • Strong knowledge of CPU and GPU architecture
  • Expertise in C, C++, and Python programming skills
  • Previous experience in a SW or QA Architect role
  • Familiarity with automated testing tools and CI/CD pipelines
  • Master's degree in a related discipline preferred

Responsibilities

  • Develop and implement QA strategies for GPU software testing
  • Evaluate and optimize existing QA methodologies and tools
  • Collaborate with cross-functional teams to integrate feedback into testing processes
  • Define methods for cataloging test plans and cases
  • Analyze complex failure scenarios in GPU environments
  • Establish metrics for assessing software development efficiency
  • Mentor QA engineers on best practices and methodologies
  • Stay updated on trends and technologies in the Compute domain

Benefits

  • Comprehensive health and wellness programs
  • Flexible work arrangements
  • Training and professional development opportunities
  • Employee stock purchase plan
  • Retirement savings plans
Full Job Description
THE ROLE:

We are seeking a Principal Software Quality Engineer to serve as the senior technical leader for ROCm software validation across compute workloads and server-class systems. In this individual-contributor leadership role, you will define how AMD proves ROCm is ready to ship - from unit and component testing, through full-stack workload validation, to multi-node system-level qualification on AMD Instinct™ GPU platforms.

THE PERSON:

You will set the technical direction for validation strategy, build and evolve the test infrastructure that gates every ROCm release, and personally drive the hardest debugging, characterization, and qualification problems. Your work directly determines the quality bar experienced by hyperscalers, OEMs, sovereign-AI customers, and the open-source community running ROCm in production.

KEY RESPONSIBILITIES:

  • Own the end-to-end validation architecture for ROCm - unit, integration, framework, workload, performance, stress, stability, scale-out, and system-level test layers - across multiple GPU generations and server platforms.


  • Define release-qualification gates and exit criteria for ROCm software releases (functional coverage, performance regressions, stability hours, scale targets, RAS criteria) and drive the org to meet them.


  • Lead system-level testing for server nodes - multi-GPU topologies, PCIe/Infinity Fabric/xGMI, BMC/IPMI, thermal/power, firmware interactions, and multi-node fabric (Ethernet/InfiniBand/UALink) bring-up and validation.


  • Drive compute workload validation and characterization - LLM training and inference (PyTorch, vLLM, Triton, JAX), recommender systems, scientific HPC kernels, MLPerf-class benchmarks - establishing reproducible methodology, baselines, and regression tracking.


  • Architect the test infrastructure - distributed test runners, GitHub Actions / Jenkins / internal CI fleets, hardware lab orchestration, result data lakes, flaky-test detection, bisection automation, and self-service developer pre-submit pipelines.


  • Champion modern, agile quality engineering - shift-left testing, test pyramids, contract testing between layers, hermetic test environments, deterministic reproducers, and continuous validation in trunk.


  • Set the bar for GitHub-based quality workflows - PR gating policy, required checks, code-coverage standards, bug-bash and triage cadences, and disciplined issue management across ROCm/* repositories and partner upstream projects.


  • Lead complex escalation debug - partner with development, hardware, firmware, and customer-facing teams to root-cause the hardest multi-day, multi-node, multi-component failures and convert findings into durable test coverage.


  • Influence the roadmap - work with product management, silicon, platform, and software architecture to ensure validation readiness for next-generation Instinct GPUs and server platforms before tape-in milestones and silicon arrival.


  • Mentor and elevate Senior and Staff validation engineers, SDETs, and SQA leads; raise the technical bar through design review, code review, and written guidance.


  • Represent ROCm validation externally - strategic customer engagements, OEM qualification programs, and open-source community quality initiatives.


PREFERRED EXPERIENCE:

  • Strong software engineering experience with a strong validation, SDET, or quality-engineering focus, including 5+ years in a senior IC role (Staff/Principal/PMTS or equivalent) leading validation of complex systems software.


  • Expert-level Python for test automation and infrastructure; strong C++ for debugging and extending production code paths under test.


  • Deep, demonstrable validation experience in at least two of the following domains:


  • GPU compute software stacks (ROCm, CUDA, oneAPI, SYCL)


  • Deep-learning frameworks and inference engines (PyTorch, TensorFlow, JAX, Triton, vLLM)


  • HPC / parallel runtimes and communication libraries (MPI, RCCL/NCCL, UCX, Libfabric)


  • Linux kernel, GPU drivers, or accelerator firmware


  • Distributed systems and large-scale cluster software


  • System-level validation for server-class compute nodes - multi-GPU, multi-node, fabric-attached environments - including stress/stability, soak, fault-injection, and RAS testing.


  • Proven, hands-on experience working efficiently in an agentic AI engineering environment - daily, production use of LLM-based coding agents (e.g., Cursor, Claude Code, Copilot Workspace, Codex-class agents) and orchestration frameworks for real engineering work, with demonstrable productivity, quality, or coverage gains attributable to those workflows. Comfort designing prompts, tool/MCP integrations, evaluation harnesses, and guardrails for autonomous and semi-autonomous agents.


  • Hands-on experience defining and shipping release qualification programs for software consumed by hyperscalers, OEMs, or other Tier-1 customers.


  • Mastery of GitHub at scale for quality engineering - PR gating, GitHub Actions, self-hosted runners, required status checks, release tagging, and open-source contribution and triage norms.


  • Strong command of modern, agile software development practices - trunk-based development, CI/CD, shift-left testing, observability, feature flags, and incremental delivery - applied specifically to validation organizations.


  • Excellent written and verbal communication - able to author crisp test plans, qualification reports, RFCs, and post-mortems, and to influence development teams without authority.


  • Direct contributions to validation, CI, or test infrastructure for ROCm, PyTorch, LLVM, Triton, vLLM, or comparable upstream open-source projects.


  • Demonstrated leadership in agentic-AI adoption - built or rolled out agent-based workflows across an engineering team (e.g., autonomous test generation, AI-driven log/triage pipelines, multi-agent debug systems, MCP server design, retrieval-augmented engineering knowledge bases) with measurable outcomes.


  • Experience operating or validating large GPU clusters (256+ GPUs) - fabric bring-up, cluster health monitoring, and fleet-level diagnostics.


  • Familiarity with Training/Inference/HPC industry-standard benchmark methodologies and submissions.


  • Background in performance validation: roofline analysis, profiler tooling (rocprof, Omniperf, Nsight-class), regression detection


  • Experience with fault injection, RAS, telemetry, and long-haul stability programs for accelerator platforms.


  • Familiarity with hardware lab automation: BMC/IPMI/Redfish, PDU control, serial-console capture, automated re-imaging, and topology-aware test scheduling.


  • Prior experience standing up validation for pre-silicon / emulation / first-silicon bring-up of accelerators.


ACADEMIC CREDENTIALS:

  • BS/MS/PhD in Computer Science, Computer Engineering, or related discipline (or equivalent demonstrated experience).


LOCATION: San Jose, California

#LI-DR1

#LI-HYBRID

Benefits offered are described: AMD benefits at a glance.

About Advanced Micro Devices, Inc

Advanced Micro Devices, Inc. Careers

Join the innovative forefront of technology with a career at Advanced Micro Devices, Inc. (AMD), a leader in semiconductor development. As part of our global team, you will contribute to an organization renowned for its dedication to innovation, leadership, and diversity in the tech industry.

Work You’ll Do

At AMD, we offer job opportunities that push the boundaries of what is possible. Our team is composed of professionals who lead the way in microprocessor and graphics technology, driving industry standards and innovation. With AMD, you will be part of a culture that values growth and professional development, ensuring that every team member has the opportunity to excel.

Transform Your Career

AMD is not just about advancing technology, but also about advancing careers. Whether you are looking for an internship, a full-time position, or leadership roles, AMD provides the platform to propel your career to new heights. Our commitment to professional growth is matched by our dedication to diversity and inclusion, making AMD a place where everyone can thrive.

Innovative Work Environment

Join a team of over 12,000 dedicated professionals at the intersection of technology, industry expertise, and digital innovation. At AMD, you will work on groundbreaking projects that shape the future of computing and graphics. Our collaborative environment encourages networking and the sharing of ideas across teams and disciplines.

Career Development and Benefits

AMD is committed to the development of its employees. We offer robust training programs, including leadership development and diversity training, to ensure our team is equipped for both current challenges and future opportunities. Our benefits package is designed to support the well-being and financial security of our employees and their families.

Explore Job Opportunities

From engineering to marketing, AMD offers a range of career paths that cater to diverse skills and interests. Our hiring process is designed to be transparent and engaging, helping you to understand where you fit within our team and how you can contribute to our collective goals.

Stay Connected

Join Our Team Search open positions that match your skills and interest. We look for passionate, curious, creative, and solution-driven team players. Explore the opportunities to join a company that’s committed to your career growth and to innovation in the technology sector.

Keep Up to Date

Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here.

Job Alert Emails

Personalize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities that await at Advanced Micro Devices, Inc.

Interview and Resume Tips

Prepare for your future with AMD by accessing resources that help you craft your resume and excel in interviews. Our goal is to help you showcase your best professional self and align your skills with the needs of our dynamic team. At Advanced Micro Devices, Inc., we empower our employees to innovate, lead, and grow. Join us in driving the future of technology while building a rewarding and sustainable career.
Learn more about Advanced Micro Devices, Inc
Size
15,500 employees
Market Cap
$100.9 billion
Industry
Manufacturing & Automotive
Net Income
$2.4 billion
Founded
1969
5 Year Trend
+30.9%
Revenue
$9.7 billion
NASDAQ
AMD
* Ladders Estimates

Similar Jobs

Ad banner background

Get Ready For Your
Next Interview

More Jobs at Advanced Micro Devices, Inc

More Consumer Technology Jobs

Find similar Principal Software Quality Engineer - GPU & Machine Learning jobs:

NationwideSan Jose, CA