Senior AI Infrastructure Engineer

NVIDIA Corporation; United States; On-site; USD 224,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in the United States seeks engineers to scale AI infrastructure across datacenter hardware and software. You will contribute to a platform that automates GPU provisioning, configuration, and lifecycle management across cloud providers, building end-to-end automation for data center management and ML systems.

You will work on reliability, performance, and security for distributed systems using Kubernetes/SLURM, Go/Python/Rust, and Linux, with opportunities for equity and comprehensive

Qualifications

• 12+ years of experience in a similar role working on large-scale production systems
• BS in Computer Science/Engineering/Physics/Mathematics or equivalent
• Expert level knowledge of a systems programming language (Go, Python, and/or Rust)
• Strong background in Linux system administration
• 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 for reliability, availability, and scalability of GPU assets.
• Harness data streams from GPU diagnostics to cluster and network telemetry.
• Build automated test infrastructure used to qualify distributed systems for operation.
• Partner with NVIDIA engineering teams to ensure seamless integration from hardware to AI training applications

Skills

Go

Python

Rust

Linux administration

Distributed systems

Education

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

Tools

Kubernetes

SLURM

Job description

NVIDIA in the United States seeks engineers to scale AI infrastructure across datacenter hardware and software. You will contribute to a platform that automates GPU provisioning, configuration, and lifecycle management across cloud providers, building end-to-end automation for data center management and ML systems.

You will work on reliability, performance, and security for distributed systems using Kubernetes/SLURM, Go/Python/Rust, and Linux, with opportunities for equity and comprehensive