AI Cluster Validation Engineer
About The Position
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. AMD is looking for an AI Cluster Validation Engineer who is passionate about complex AI solutions, AI infrastructure, building cluster scale automation for distributed training and inference workloads, MLOps. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology. THE PERSON: The ideal candidate should be passionate about software engineering, system design, validation, automation and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD.
Requirements
- The ideal candidate should be passionate about software engineering, system design, validation, automation and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD.
- Bachelor's Degree or higher in Computer Science or related quantitative field.
- This role is not eligible for visa sponsorship.
Nice To Haves
- Languages: Python, Linux Shell scripting.
- Tools: Prior experience with Linux, Docker, Kubernetes, SLURM, LLVM compilers
- 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.
- An advanced degree or equivalent practical work experience is a plus.
Responsibilities
- Work with AMD’s architecture specialists to validate AI solutions for distributed training and inference workloads with AMD's ROCM software
- Build cluster scale automation for distributed training and inference workloads
- Reproduce field defects and develop appropriate tests to prevent future issues.
- Lead the adoption of tooling and industry best practices by means of advocacy and outreach to help our development communities level up.
- Other duties as assigned
Benefits
- AMD benefits at a glance.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
