Principal AI/ML Infra Architect - GPU Clusters (Equity)

NVIDIA Corporation; Santa Clara (CA); On-site; USD 272,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Competitive salary

Job summary

NVIDIA is seeking a Principal AI and ML Infra Software Engineer, GPU Clusters, to lead infrastructure initiatives for AI/ML researchers on our Hardware Infrastructure team in Santa Clara, CA. You will partner with researchers and engineers to identify bottlenecks and deliver scalable solutions across GPUs, storage, and networks.

You will drive roadmaps, supervise distributed training workflows with PyTorch, NeMo, or JAX, and advance our AI/ML pipelines while staying current with new frameworks.

Qualifications

• BS or similar background in Computer Science or related area (or equivalent experience).
• 15+ years of demonstrated expertise in AI/ML and HPC tasks and systems.
• Hands-on experience with HPC-grade infrastructure, accelerated computing (GPU/custom silicon), storage, scheduling and orchestration (Slurm, Kubernetes, LSF).
• Knowledge of high-speed networking (InfiniBand, RoCE, AWS EFA) and containers (Docker, Enroot).
• Capability supervising distributed training operations using PyTorch (DDP, FSDP), NeMo, or JAX.
• Understanding AI/ML workflows: data processing, model training, and inference pipelines.
• Proficiency in Python, Go, Bash; familiarity with AWS, GCP, Azure; experience with parallel computing frameworks.

Responsibilities

• Collaborate with AI/ML research teams to translate infrastructure needs into improvements.
• Identify bottlenecks and lead efficiency-improvement initiatives.
• Define long-term roadmaps for AI/ML infrastructure projects.
• Monitor and optimize GPU clusters for high availability and scalability.
• Define metrics for AI researcher efficiency and ensure measurable results.
• Work with researchers, data engineers, and DevOps to build cohesive AI/ML infrastructure.
• Stay updated on AI/ML tech and advocate integration of new approaches.

Skills

Python

PyTorch

JAX

Go

Shell scripting

Docker

Kubernetes

Slurm

LSF

CUDA / GPU programming

Education

Bachelor's degree in Computer Science or related field

15+ years AI/ML & HPC experience

Tools

HPC infrastructure

Lustre/GPFS/BeeGFS

Infiniband/RoCE/Amazon EFA

Enroot

Cloud platforms (AWS, GCP, Azure)

Job description

NVIDIA is seeking a Principal AI and ML Infra Software Engineer, GPU Clusters, to lead infrastructure initiatives for AI/ML researchers on our Hardware Infrastructure team in Santa Clara, CA. You will partner with researchers and engineers to identify bottlenecks and deliver scalable solutions across GPUs, storage, and networks.

You will drive roadmaps, supervise distributed training workflows with PyTorch, NeMo, or JAX, and advance our AI/ML pipelines while staying current with new frameworks.