Senior AI Infrastructure Engineer — GPU Clusters

Nvidia Corporation; Santa Clara (CA); On-site; USD 152,000 - 287,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is hiring experienced software engineers to scale up its AI Infrastructure, focusing on cluster operations, operator development, and GPU resource scheduling.

You will help design and operate production systems for large-scale GPU clusters used by a variety of AI workloads, ensuring reliability and performance.

We value out-of-the-box problem solvers with strong execution bias and a solid foundation in Go or Python, data structures, and algorithms.

Qualifications

• BS in CS, Eng, Physics or Math or equivalent experience.
• 5+ years in software engineering on large-scale production systems.
• Strong knowledge of Go or Python and data structures/algorithms.

Responsibilities

• Be part of a DGX Cloud team responsible for production systems that enable large scalable GPU clusters.
• Design and develop a massively distributed platform to identify, diagnose and remediate non-performant GPU assets.
• Collaborate across NVIDIA teams to ensure production AI clusters run reliably with maximum performance.

Skills

Go

Python

Distributed systems

Algorithms

Communication

Education

BS in Computer Science, Engineering, Physics, Mathematics or equivalent

Tools

Kubernetes

Slurm

Base Command Manager

Job description

NVIDIA is hiring experienced software engineers to scale up its AI Infrastructure, focusing on cluster operations, operator development, and GPU resource scheduling.

You will help design and operate production systems for large-scale GPU clusters used by a variety of AI workloads, ensuring reliability and performance.

We value out-of-the-box problem solvers with strong execution bias and a solid foundation in Go or Python, data structures, and algorithms.