Lead AI/ML Software Use Cases Validation Engineer
Lead validation engineer on AMD's PAVS team owning quality of AI/ML compute stacks and robotics use cases on Linux: defining test strategy, validating end-to-end AI pipelines, and running benchmarking and performance optimization using Python automation, PyTorch/TensorFlow/ONNX runtimes, and GPU stacks like ROCm/HIP, CUDA, and OpenCL.
- Compensation
- Not disclosed
- Location
- IN,Bangalore-Technostar B1
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 8-12 years of experience in AI/ML software validation or performance engineering
- Strong Python scripting and test automation expertise
- 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)
- Performance-driven validation mindset with focus on production readiness
- Ability to lead initiatives independently with strong ownership
- Strong analytical and problem-solving skills with clear written and verbal communication
- Ability to collaborate effectively with global, cross-functional teams
- Bachelor's or Master's degree in AI/ML, Robotics, Electronics, Computer Science, or a related field
Full description
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
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 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