AMD · 5 hours ago
Senior Staff AI/ML and GPU Performance QA engineer
Austin, TX
Full-time
Onsite
Senior Level, Lead/Staff
$161K/yr - $241K/yr
10+ years expAMD is a company focused on building innovative products that enhance next-generation computing experiences, particularly in AI and data centers. They are seeking a Senior Staff AI/ML and GPU Performance QA Engineer to design and develop test frameworks for AI/ML, lead GPU performance benchmarking, and mentor engineers while collaborating across various teams.
AI InfrastructureArtificial Intelligence (AI)Cloud ComputingComputerEmbedded SystemsGPUHardwareSemiconductor
No H1B
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
Qualification
Required
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)
Preferred
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
Benefits
AMD benefits at a glance.
Company
AMD
Advanced Micro Devices is a semiconductor company that designs and develops graphics units, processors, and media solutions.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
OpenAIDaniel Loeb
2025-10-06Post Ipo Equity
2023-03-02Post Ipo Equity
2021-06-29Post Ipo Equity
Leadership Team
Lisa Su
Chair & CEO
Mark Papermaster
CTO and EVP
Recent News
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