Senior AI Infra Engineer - Distributed GPU Systems (Equity)

NVIDIA; California (MO); On-site; USD 170,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking experienced software engineers to scale AI infrastructure for DGX Cloud teams. You will work on production systems that manage large GPU clusters, focusing on performance, reliability, and incident management.

A BS in a technical field and 5+ years in a similar role are preferred, with strong Go/Python skills and distributed systems experience. You will collaborate across teams to improve platform reliability and performance, with equity and comprehensive benefits.

Qualifications

• 5+ years in a software engineering role within a highly technical organization with demonstrable impact.
• Strong communication skills and ability to coordinate across cross-functional teams and geographies.
• Proficiency in Go and Python with solid data structures and algorithms.

Responsibilities

• Maintain and scale production systems for large GPU clusters used in AI workloads.
• Design and develop a massively distributed platform to identify, diagnose, and remediate non-performant GPU assets.
• Collaborate with NVIDIA teams to ensure reliable and high-performance AI clusters and incident management.

Skills

Go

Python

Distributed systems

Communication skills

Education

BS in Computer Science, Engineering, Physics, Mathematics or comparable degree

Tools

Kubernetes

Slurm

Base Command Manager

Job description

NVIDIA is seeking experienced software engineers to scale AI infrastructure for DGX Cloud teams. You will work on production systems that manage large GPU clusters, focusing on performance, reliability, and incident management.

A BS in a technical field and 5+ years in a similar role are preferred, with strong Go/Python skills and distributed systems experience. You will collaborate across teams to improve platform reliability and performance, with equity and comprehensive benefits.