Senior AI/ML Software Use Cases Validation Engineer

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Senior AI/ML Software Use cases Validation Engineer Job Summary We are looking for a Senior Software Engineer (SSE) to lead validation of AI/ML compute stacks and Physical AI SDKs. The role focuses on end‑to‑end AI pipeline validation, benchmarking, and performance optimization across Linux platforms, aligned with real customer use cases. Key Responsibilities Validation of AI/ML compute stacks on Ubuntu and Yocto Define and execute validation plans covering functional, performance, stress, regression, and scalability testing Own defect lifecycle including triage, root cause analysis, and closure Validate end‑to‑end AI pipelines: Model training, conversion, and optimization (e.g., PyTorch → ONNX) Kernel execution, memory transfers, and inference accuracy Define and run AI benchmarking and profiling for training and inference workloads Validate AI frameworks and runtimes (PyTorch, TensorFlow, ONNX Runtime) Execute workloads on ROCm/HIP, CUDA, OpenCL, and heterogeneous accelerators Build and maintain Python‑based automation for validation, benchmarking, and reporting Mentor junior engineers and clearly communicate quality and performance metrics Technical 4–8 years experience in AI/ML validation Strong Python scripting and automation skills Solid ML fundamentals including deep learning , LLMs HIP, CUDA, OpenCL, and TensorFlow/PyTorch integrations Hands‑on experience with ROCm validation and end‑to‑end AI pipeline validation experience Strong Linux expertise (Ubuntu, Yocto) Validation & Process Performance‑driven validation mindset with focus on release readiness High ownership and ability to work independently 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. Preferred Qualifications Benchmarking on CPU, GPU, and AI accelerators Performance tuning of large models (memory optimization, mixed precision) Education Bachelor’s or Master’s degree in AI/ML, Computer Science, Robotics, Electronics, or related field. #LI-NR1 Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.

Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.

Senior AI/ML Software Use cases Validation Engineer Job Summary We are looking for a Senior Software Engineer (SSE) to lead validation of AI/ML compute stacks and Physical AI SDKs. The role focuses on end‑to‑end AI pipeline validation, benchmarking, and performance optimization across Linux platforms, aligned with real customer use cases. Key Responsibilities Validation of AI/ML compute stacks on Ubuntu and Yocto Define and execute validation plans covering functional, performance, stress, regression, and scalability testing Own defect lifecycle including triage, root cause analysis, and closure Validate end‑to‑end AI pipelines: Model training, conversion, and optimization (e.g., PyTorch → ONNX) Kernel execution, memory transfers, and inference accuracy Define and run AI benchmarking and profiling for training and inference workloads Validate AI frameworks and runtimes (PyTorch, TensorFlow, ONNX Runtime) Execute workloads on ROCm/HIP, CUDA, OpenCL, and heterogeneous accelerators Build and maintain Python‑based automation for validation, benchmarking, and reporting Mentor junior engineers and clearly communicate quality and performance metrics Technical 4–8 years experience in AI/ML validation Strong Python scripting and automation skills Solid ML fundamentals including deep learning , LLMs HIP, CUDA, OpenCL, and TensorFlow/PyTorch integrations Hands‑on experience with ROCm validation and end‑to‑end AI pipeline validation experience Strong Linux expertise (Ubuntu, Yocto) Validation & Process Performance‑driven validation mindset with focus on release readiness High ownership and ability to work independently 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. Preferred Qualifications Benchmarking on CPU, GPU, and AI accelerators Performance tuning of large models (memory optimization, mixed precision) Education Bachelor’s or Master’s degree in AI/ML, Computer Science, Robotics, Electronics, or related field. #LI-NR1