Senior AI Infra Engineer - Scale GPU Data Centers

NVIDIA Corporation; Jasper (AL); On-site; USD 224,000 - 357,000; Full time

Job summary

NVIDIA is seeking a senior platform engineer to help scale AI infrastructure across datacenter hardware and software. You will own automation, monitoring, and lifecycle management for GPU assets across cloud providers, partnering with teams to deliver reliable, scalable systems.

Ideal candidates have 12+ years of experience, strong Linux, Go/Python/Rust, and experience with Kubernetes/SLURM. The role offers competitive base salary, equity, and benefits in the US.

Qualifications

• 12+ years of experience in a similar role working on large-scale production systems.
• BS in Computer Science/Engineering/Physics/Mathematics or other comparable degree, or equivalent experience.
• Expert level knowledge of a systems programming language (Go, Python, and/or Rust) and a solid understanding of Data Structures and Algorithms.
• Strong background in Linux system administration and management.
• Deep knowledge of container orchestration platforms such as Kubernetes and/or SLURM.
• Understanding of performance, security, and reliability in complex distributed systems.
• Familiarity with system level architecture, data synchronization, fault tolerance, and state management.

Responsibilities

• Contribute to a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers.
• Build end‑to‑end automation of data center management, break/fix, and the full span of system upkeep for large-scale Machine Learning systems.
• Implement monitoring and health management capabilities that enable industry‑leading reliability, availability, and scalability of GPU assets.
• Harness multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry.
• Build automated test infrastructure that we use to qualify distributed systems for operation.
• Partner with engineering teams across NVIDIA to ensure the software integrates seamlessly from the hardware all the way up to the AI training applications.

Skills

Go

Python

Rust

Linux

Distributed systems

Data Structures & Algorithms

Kubernetes

RDMA networking

Education

Bachelor's degree in CS/Engineering/Physics/Mathematics or equivalent

Tools

Kubernetes

SLURM

RDMA networking

Job description

NVIDIA is seeking a senior platform engineer to help scale AI infrastructure across datacenter hardware and software. You will own automation, monitoring, and lifecycle management for GPU assets across cloud providers, partnering with teams to deliver reliable, scalable systems.

Ideal candidates have 12+ years of experience, strong Linux, Go/Python/Rust, and experience with Kubernetes/SLURM. The role offers competitive base salary, equity, and benefits in the US.