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AMD • Santa Clara, California, United States
Salary: USD 0 per year
Role: AI solutions validation Engineer (seniority not specified)
Hybrid work model
Not eligible for visa sponsorship
Languages: Python, C, C++, Linux shell scripting
Frameworks/Libraries: TensorFlow, PyTorch, ONNX Runtime
Tools/Platforms: Linux, Docker, Kubernetes, SLURM, LLVM compilers
Hardware/Perf: ROCm software, GPUs, RDMA/ROCEv2, RCCL/NCCL, IBPerf
Inference/Training: vLLM, SGLang; Megatron-LM, JAX; MoE, LLM training and benchmarks
HPC/AI infra: Performance profiling, debugging complex AI compute, networking, storage issues
Other: Testing toolchains, automation libraries, cluster-scale automation
Validate AI solutions for distributed training and inference workloads using AMD ROCm
Build cluster-scale automation for distributed training and inference workloads
Reproduce field defects, design tests, and develop tooling to prevent future issues; advocate best practices across development teams
Proficiency in Python, C/C++, Linux shell scripting
Experience with TensorFlow, PyTorch, ONNX Runtime
Familiarity with Linux, Docker, Kubernetes; SLURM; LLVM toolchain
Understanding of AI infrastructure, HPC deployments, RDMA networks, and performance profiling
Experience validating GPUs-based AI systems, benchmarking (IBPerf, RCCL/NCCL)
Advanced degree or equivalent practical experience
Experience training/inferencing LLMs, MoE models, image generation
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.
Languages: Python, C, C++, Linux Shell scripting.
Frameworks/Libraries: TensorFlow, PyTorch, ONNXRT
Tools: Prior experience with Linux, Docker, Kubernetes,SLURM, LLVM compilers Good experience with complex computer systems used in AI, HPC deployments, backend network designs in RDMA clusters Experience in validating complex AI infrastructure - GPUs, networking, ROCEv2, UEC, running benchmark tests like IBPerf benchmarking, RCCL/NCCL. Experience with performance profiling of CPUs, GPUs and debugging complex compute, network, storage problems. Experience with running training of LLMs, MoE models, Image Generation, recommendations models with different frameworks like PyTorch, Tensorflow, Megatron-LM, JAX. Running training performance benchmarks. Experience with running inference workloads in AI clusters with different inference frameworks like vLLM, SGLang. Running performance benchmarks for inference.
Desired Skills: Understanding of High-Performance Computing application, Machine learning and GPU Programming, MPI Parallel Programming, Enabling various ML//Inference models
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.