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AMD · 8 hours ago

AI Cluster Test Automation Engineer

Santa Clara, CA

Full-time

Onsite

Mid, Senior Level

$163K/yr - $245K/yr

AMD is a company dedicated to building innovative products that enhance computing experiences across various domains. They are seeking an AI Cluster Test Automation Engineer to validate AI solutions and develop automation for distributed training and inference workloads.

AI InfrastructureArtificial Intelligence (AI)Cloud ComputingComputerEmbedded SystemsGPUHardwareSemiconductor

Growth Opportunities

No H1B

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

Qualification

PythonCC++TensorFlowPyTorchAI infrastructure validationLinux Shell scriptingDockerKubernetesSLURMPerformance profilingBenchmark testingHigh-Performance ComputingMachine learningGPU ProgrammingLLMs trainingInference workloadsLLVM compilersMPI Parallel Programming

Required

Passionate about software engineering, system design, validation, automation

Possess leadership skills to drive sophisticated issues to resolution

Able to communicate effectively and work optimally with different teams across AMD

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

Bachelor's Degree or higher in Computer Science or related quantitative field

Preferred

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