Senior Systems Software Engineer, Golang

at Nvidia
📍 Redmond, United States
USD 148,000-287,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 4 Docker @ 4 Go @ 4 Grafana @ 4 Jenkins @ 4 Kubernetes @ 4 Linux @ 4 Prometheus @ 4 Python @ 4 GitHub @ 4 CI/CD @ 4 Distributed Systems @ 4 Helm @ 4 React @ 4 Node.js @ 4 Rust @ 4 Debugging @ 4 API @ 4 CUDA @ 3 GPU @ 4

Details

NVIDIA is looking for outstanding software engineers to help expand enterprise GPU management and monitoring tools. The role involves designing and building cloud-native management agents, Kubernetes integrations, and end-to-end integration solutions combining GPUs with datacenter software management ecosystems. Support spans HPC, cloud, and enterprise environments on bare metal and virtualized platforms, focusing on telemetry, health checks, diagnostics, configuration, and system management.

Responsibilities

  • Develop and maintain distributed, robust, and scalable Go programs for Kubernetes environments managing large datacenters.
  • Develop and maintain user-space applications, containers, Go bindings, and CLI tools.
  • Enable GPU management integration with open-source ecosystems including Kubernetes and Docker.
  • Support internal and external users with bug fixes, documentation, and feature improvements.
  • Maintain high-quality products with robust test coverage.

Requirements

  • BS or higher in Computer Science or equivalent experience.
  • 5+ years of meaningful industry experience with strong Go and Kubernetes development background.
  • User space development and debugging expertise in Linux environments.
  • Experience with APIs and interface design.
  • Outstanding written and verbal interpersonal skills; business-level English.
  • Strong motivation and commitment to learning new skills.
  • Ability to manage software development lifecycle and multitask in a fast environment.
  • Development experience with Rust, Python, and/or C, C++.
  • Experience with distributed systems and concurrent applications, especially in Kubernetes.
  • Experience deploying, managing, and debugging Kubernetes applications.

Ways to Stand Out

  • Background with containers (Docker, OCI), orchestration frameworks, and Kubernetes monitoring tools such as Prometheus, Loki, and Grafana.
  • Experience with UI development in React and Node.js or similar frameworks.
  • Experience developing Kubernetes operators or Helm charts.
  • Experience with HPC job schedulers (Slurm, Run.AI).
  • Familiarity with Kubernetes internals, GPU programming with CUDA.
  • Experience with Jenkins and GitHub/GitLab CI/CD pipelines.

Benefits

  • Eligible for equity and a comprehensive benefits package.
  • Committed to diversity and equal opportunity employment.