Staff/Principal Engineer - AI/ML & System-Level Validation

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Principal Member of Technical Staff — ROCm Validation & System-Level Quality About the Role

We are seeking a Principal Member of Technical Staff (PMTS) 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. 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.

What You Will Do

• 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.