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Advanced Microdevices Pvt. Ltd. (India) · 3 weeks ago

AI Cluster Validation Engineer

Santa Clara, CA

Full-time

Hybrid

Mid Level

Advanced Micro Devices, Inc is dedicated to building innovative products that enhance computing experiences across various domains. The AI Cluster Validation Engineer will validate AI solutions for distributed workloads, build automation for testing, and collaborate with architecture specialists to drive excellence in AI infrastructure.

BiopharmaBiotechnologyIndustrialManufacturing

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

PythonLinuxDockerKubernetesSLURMLLVM compilersAI infrastructure validationPerformance profilingML frameworksMachine learningGPU ProgrammingMPI Parallel ProgrammingHigh-Performance Computing

Required

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

An advanced degree or equivalent practical work experience is a plus

Preferred

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, 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