Senior Staff AI/ML and GPU Performance QA engineer
About The Position
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.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
- 10+ years of industry experience in test development, performance engineering, or systems validation
- Deep understanding of GPU and CPU hardware components, including memory hierarchy, interconnects, and compute pipelines
- Strong experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX, ONNX Runtime)
- Hands-on experience with AI model training and inference, including large-scale models
- Experience working with AI agents and agent-based workflows
- Proven expertise in GPU performance benchmarking, profiling, and root-cause analysis
- Strong debugging skills across hardware, firmware, drivers, runtime, and application layers
- Proficiency in Python, C/C++, or similar languages
- Experience building automation frameworks and integrating them into CI/CD pipelines
- Experience working in virtualization environments (containers, VMs)
Nice To Haves
- Experience validating LLMs, multimodal models, or autonomous AI agents
- Knowledge of CUDA, ROCm, or other GPU programming ecosystems
- Experience with distributed training and inference
- Familiarity with GPU/CPU performance tools (e.g., Nsight, ROCm tools, perf, VTune, custom profilers)
- Background working closely with gpu silicon, compiler, or systems software teams
Responsibilities
- Design, develop, and own test and validation frameworks for AI/ML frameworks, AI models, and AI agents, focusing on GPU performance, correctness, and scalability
- Lead GPU performance benchmarking for AI/ML training, inference, and agent-based workloads
- Develop and maintain performance baselines and regression detection across multiple GPU and CPU platforms
- Analyze and debug performance, functional, and stability issues spanning hardware, drivers, runtime, frameworks, and models
- Build automated test pipelines covering bare-metal and virtualized environments (VMs, containers)
- Drive CI/CD integration for large-scale AI/ML validation infrastructure
- Collaborate closely with AI framework, model, compiler, OS, driver, and hardware teams
- Mentor senior engineers and provide technical leadership across cross-functional teams
- Influence long-term strategy for AI/ML performance validation and system-level testing
Benefits
- AMD benefits at a glance.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
