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AI/ML Software Use Cases Validation Engineer (Lead)
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.
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.
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 benchmark
📌 Lead AI/ML Software Use Cases Validation Engineer (Bengaluru)
🏢 AMD
📍 Bengaluru