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Advanced Micro Devices, Inc
Staff/Principal Engineer - AI/ML & System-Level Validation
Advanced Micro Devices, Inc
Hyderabad•On-site•12+ Yrs•2 hours ago
Job description
Overview
WHAT YOU DO AT AMD CHANGES EVERYTHING
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.
Qualifications
- 12+ years of professional 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.
- BS/MS/PhD in Computer Science, Computer Engineering, or related discipline (or equivalent demonstrated experience).
- 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.
- 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
- 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.
Nice to have
- 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.
Benefits
- AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
- This posting is for an existing vacancy.