Director of Software Validation Engineering – ROCm

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.

We're looking for a hands-on Director of Test Engineering to lead and transform the quality function for ROCm. This is not a program management role — it's a deeply technical leadership position for someone who understands the hardware/software interface of GPUs, has built test engineering organizations from the ground up, and is ready to lead the next wave of AI-native, agentic quality engineering. You will own the vision, strategy, and execution of test engineering for ROCm — from kernel-level driver validation to user-space ML framework testing. Critically, you will be the driving force behind scaling your team's impact through AI and agentic tooling, building a modern, autonomous quality organization that moves faster than any traditional QA team could.   The ROCm software organization at AMD builds and maintains the open-source GPU software stack powering AI training, inference, and HPC workloads across AMD's data center and consumer GPU portfolio. ROCm is the foundation on which developers, researchers, and enterprises run their most demanding AI and HPC workloads. Quality and reliability are existential to our success. We operate at the intersection of cutting-edge hardware and software — and we move fast. Our team is deeply invested in open-source, community-driven development, and engineering excellence at every layer of the stack. THE PERSON The ideal candidate is a technical leader who has built and scaled test engineering teams in complex, hardware-adjacent software environments. You are hands-on when it matters — able to prototype a test framework, debug a GPU driver failure, or design a validation architecture. You also understand how customers actually use the product: the AI inference and training workloads they run, the parallelism strategies they deploy, the performance they expect, and the failure modes they hit. That customer-workload knowledge is what separates a QA team that writes blackbox sanity checks from one that designs tests targeting the exact code paths real users exercise. You see AI agents not as a novelty but as the primary lever for scaling your team's output. You are impatient with manual, reactive QA and energized by building systems that catch bugs before humans even see them.

Own the overall test engineering strategy and architecture for ROCm, spanning driver validation, runtime testing, compiler/toolchain quality, and ML framework integration — with test coverage designed around real customer workload patterns, not synthetic benchmarks. Lead, grow, and mentor a team of SDETs and test engineers, instilling SDET-level engineering discipline and a culture of automation-first quality. Architect and operate continuous testing/validation infrastructure: staging environments for soak testing, stress testing, failure injection, recovery validation, and long-duration reliability runs. Champion AI-first and agentic test engineering: drive adoption of LLM-assisted test generation, autonomous failure triage, intelligent test prioritization, and agentic CI/CD workflows. Hands-on prototyping of new test frameworks, validation tooling, and agentic testing pipelines — especially in early-stage or high-ambiguity situations.