Lead AI/ML Software Use Cases Validation Engineer
Core
Lead validation and quality ownership of AI/ML compute stacks and Physical AI SDKs for robotics platforms, ensuring safety, reliability, and performance through rigorous testing in simulation, SIL/HIL, and real-world deployments.
Role type
Lead AI/ML Member of Technical Staff (MTS)
Builds
Production-quality AI solutions aligned to real customer use cases
Domain
Robotics, AI/ML, High-performance computing
Deliverable
production ML models
Required skills
AI/ML software validation, Python scripting, test automation, deep learning, LLMs, ROCm validation, performance profiling, HIP, CUDA, OpenCL, TensorFlow, PyTorch, Linux (Ubuntu, Yocto), end-to-end AI pipeline validation
Preferred skills
System-level and model-level optimization, defect lifecycle management, technical leadership, mentorship
Technologies
ROCm, HIP, CUDA, OpenCL, PyTorch, TensorFlow, ONNX, Ubuntu, Yocto
Responsibilities
Define validation strategy and test architecture; validate end-to-end AI pipelines including model training, conversion, and optimization; execute AI benchmarking and profiling; analyze compute, memory, and latency bottlenecks; design Python-based automation frameworks; provide technical leadership and mentorship
Seniority
Lead, hands-on IC with mentorship
