AMD
Base pay range
$164,000.00/yr - $246,000.00/yr
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.
THE ROLE AMD is looking for an AI solutions validation Engineer who is passionate about complex AI solutions, AI infrastructure, building cluster‑scale automation for distributed training and inference workloads, and 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.
KEY 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.
Design, develop and deploy testing tools and automation libraries necessary to perform testing.
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.
PREFERRED EXPERIENCE
Languages: Python, Linux Shell scripting.
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, recommendation models with different frameworks (PyTorch, TensorFlow, Megatron‑LM, JAX). Running training performance benchmarks.
Experience with running inference workloads in AI clusters with different inference frameworks (vLLM, SGLang). Running performance benchmarks for inference.
Desired skills: understanding of high‑performance computing applications, machine learning and GPU programming, MPI parallel programming, enabling various ML / inference models.
ACADEMIC CREDENTIALS
Bachelor's Degree or higher in Computer Science or related quantitative field.
An advanced degree or equivalent practical work experience is a plus.
NOTES This role is not eligible for visa sponsorship.
Benefits offered are described: AMD benefits at a glance.
EEO STATEMENT 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.
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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.
THE ROLE AMD is looking for an AI solutions validation Engineer who is passionate about complex AI solutions, AI infrastructure, building cluster‑scale automation for distributed training and inference workloads, and 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.
KEY 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.
Design, develop and deploy testing tools and automation libraries necessary to perform testing.
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.
PREFERRED EXPERIENCE
Languages: Python, Linux Shell scripting.
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, recommendation models with different frameworks (PyTorch, TensorFlow, Megatron‑LM, JAX). Running training performance benchmarks.
Experience with running inference workloads in AI clusters with different inference frameworks (vLLM, SGLang). Running performance benchmarks for inference.
Desired skills: understanding of high‑performance computing applications, machine learning and GPU programming, MPI parallel programming, enabling various ML / inference models.
ACADEMIC CREDENTIALS
Bachelor's Degree or higher in Computer Science or related quantitative field.
An advanced degree or equivalent practical work experience is a plus.
NOTES This role is not eligible for visa sponsorship.
Benefits offered are described: AMD benefits at a glance.
EEO STATEMENT 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.
#J-18808-Ljbffr