NVIDIA seeks a senior software engineer to join its enterprise GPU management team, focusing on developing cloud-native agents and Kubernetes integrations for HPC, cloud, and enterprise environments. This role involves designing robust Go programs and user-space applications that integrate GPUs with the datacenter ecosystem, ensuring seamless operation across single-node systems and large clusters. Key responsibilities include enabling GPU management within open-source tools like Kubernetes and Docker, supporting users through bug fixes and documentation, and maintaining high-quality products via comprehensive testing. Ideal candidates have a strong Linux background, extensive experience in Go and Kubernetes development, and expertise in distributed systems and concurrent applications. They should also possess skills in Rust, Python, C/C++, modern UI frameworks, Jenkins CI/CD pipelines, and familiarity with GPU programming and HPC schedulers like Slurm.
Skills
Go
Kubernetes
Docker
Rust
Python
C
Linux
APIs
Prometheus
Loki
Grafana
React
Node.js
Helm
Slurm
CUDA
Jenkins
GitHub
GitLab
CI/CD
What you'll do
Develop and maintain Go programs for Kubernetes environments managing large datacenters.
Create user-space applications, containers, CLI tools, and Go-bindings for GPU management.
Integrate GPU management with open-source systems like Kubernetes and Docker.
Provide support to users through bug fixes, documentation updates, and feature enhancements.
Ensure product quality through comprehensive test coverage and robust testing practices.
What we're looking for
5+ years of industry experience in software development, focusing on Go and Kubernetes.
Strong background in Linux user space development and debugging.
Proficiency in APIs, interface design, and distributed systems.
Excellent written and verbal communication skills in English.
Experience with Rust, Python, C/C++, and concurrent applications in Kubernetes.
Background in deploying, managing, and debugging enterprise software in Kubernetes.
Familiarity with modern UI frameworks like React and Node.js, and GPU programming with CUDA.
Market check
Salary context
This
$152,000–$241,500
range sits above
70%
of similar postings on FindRole.
Peer median band
$120,000–$215,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,437–$212,150
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.