Overview 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 Responsibilities AI ML and GPU Performance QA engineer We are seeking an experienced Senior Technical Validation Engineer to drive validation and performance engineering for Machine Learning ML High-Performance Computing HPC frameworks GPU software stacks and cluster environments This role requires good understanding and experience in ROCm CUDA GPU architecture ML frameworks CI CD systems benchmarking and competitive analysis You will lead cross-functional initiatives across validation automation test development performance tuning and system scalability ensuring delivery of high-quality high-performance software for next-generation AI and HPC workloads Key ResponsibilitiesLead validation for ML AI models accuracy testing performance benchmarking regression drift detection A B testing Test ML frameworks PyTorch Hugging Face MLFlow experiment tracking Validate wide varieties of AI models to ensure correctness in distributed training or inference Perform GPU testing profiling ROCm CUDA validation performance profiling memory thermal analysis multi-GPU scaling Validate HPC frameworks distributed runtimes compilers and GPU libraries Build scalable CI CD workflows for ML HPC validation Develop automated test pipelines using Docker Kubernetes GitHub Actions Jenkins Validate cloud-based AI workloads on AWS SageMaker Lambda and S3 Test the benchmarks under containerized and virtualized GPU environments Design and implement automated validation pipelines for ML frameworks e g PyTorch TensorFlow JAX across GPU platforms Develop and maintain benchmarking suites for AI models and HPC workloads focusing on performance scalability and regression detection Multi-node validation efforts using orchestration tools e g Slurm MPI Kubernetes to simulate real-world distributed training and inference Collaborate with hardware and software teams to validate GPU hardware platforms NVIDIA CUDA AMD ROCm for ML and HPC readiness Analyze performance metrics using profiling tools e g Nsight rocprof perf and provide actionable insights Drive test content development for emerging AI workloads including LLMs vision models and scientific computing benchmarks Perform bottleneck analysis hyperparameter validation and competitive benchmarking Mentor junior engineers and contribute to validation strategy tooling and best practices Preferred Expereince Bachelor s or Master s degree in Computer Science Electrical Engineering or related field 8 years of experience in validation engineering ML infrastructure or HPC performance testing Strong hands-on experience with GPU platforms NVIDIA CUDA AMD ROCm and their software ecosystems Deep understanding of AI model architectures training inference workflows and ML performance bottlenecks Proven experience with CI CD systems Git Docker and automated test frameworks Expertise in multi-node orchestration and distributed system validation Familiarity with HPC benchmarks e g HPL HPCG MLPerf and AI model benchmarking methodologies Proficiency in scripting and automation Python Bash YAML in Linux environments Strong communication documentation and cross-functional collaboration skills LI-NR1 Qualifications Advantages 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