Lead AI/ML Software Use Cases Validation Engineer

AI/ML Software Use Cases Validation Engineer (Lead)

Job Summary

We are seeking a Lead AI/ML Member of Technical Staff (MTS) with 8-12 years of experience to own and drive validation of AI/ML compute stacks and Physical AI SDKs. This role leads end-to-end AI pipeline validation, benchmarking, and performance optimization on Linux platforms, working closely with architecture, compiler, runtime, and hardware teams to deliver production-quality AI solutions aligned to real customer use cases.

About the Role

Join AMD s PAVS team as a Robotics Usecases Validation Engineer where you will Validate and Execute diverse Robotics platforms, variants and customer usecases for advanced robotics systems across software, hardware, and integrated platforms. Your work will ensure safety, reliability, and performance through rigorous testing in simulation, SIL/HIL environments, and real-world deployments.

Key Responsibilities

• Lead validation and quality ownership of AI/ML compute stacks on Ubuntu and Yocto
• Define validation strategy, test architecture, and coverage across functional, performance, stress, regression, and scalability testing
• Own and drive the defect lifecycle, including triage, root cause analysis, and closure
• Validate end-to-end AI pipelines, including:
  • Model training, conversion, and optimization (e.g., PyTorch ONNX)
  • Kernel execution, memory transfers, and inference accuracy
• Define and execute AI benchmarking and profiling strategies for training and inference workloads
• Analyze compute, memory, and latency bottlenecks and drive system-level and model-level optimizations
• Validate AI frameworks and runtimes (PyTorch, TensorFlow, ONNX Runtime)
• Execute and optimize workloads on ROCm/HIP, CUDA, OpenCL, and heterogeneous accelerators
• Design and own Python-based automation frameworks for validation, benchmarking, and reporting
• Drive improvements in validation scalability, efficiency, and performance coverage
• Collaborate closely with compiler, runtime, driver, and hardware teams
• Provide technical leadership and mentorship to senior and junior engineers
• Communicate validation status, performance metrics, and quality risks to stakeholders

Required Skills & Qualifications

Technical

• 8-12 years of experience in AI/ML software validation or performance engineering
• Strong expertise in Python scripting and test automation
• Strong ML fundamentals including deep learning and LLMs
• Hands-on experience with ROCm validation, performance profiling, and optimization
• Experience with HIP, CUDA, OpenCL, and TensorFlow/PyTorch integrations
• Proven experience validating end-to-end AI pipelines
• Strong Linux expertise (Ubuntu, Yocto)

Validation & Process

• Performance-driven validation mindset with focus on production readiness
• Ability to lead initiatives independently with strong ownership

Soft Skills

• Strong analytical and problem-solving skills with clear written and verbal communication, and the ability to collaborate effectively with global, cross-functional teams.

Education

Bachelor s or Master s degree in AI/ML, Robotics, Electronics, Computer Science, or a related field.

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