Senior Software Engineer, GoLang - DSX MaxQ

About the role

NVIDIA is seeking talented software engineers to contribute to the development of enterprise GPU management and monitoring tools. This role involves designing and building cloud-native management agents, Kubernetes integrations, and end-to-end integration solutions that integrate GPUs with the rest of the datacenter software management ecosystem.

Responsibilities

• Develop and maintain distributed, robust, and scalable Go programs deployed to Kubernetes environments that manage large datacenters
• Develop and maintain user-space applications, containers, Go-bindings, and CLI tools
• Enable GPU management integration with the state-of-the-art open-source ecosystem, including Kubernetes and Docker
• Support internal and external users through bug fixes, documentation, and feature improvements
• Maintain high-quality products through robust test coverage

Requirements

• BS or higher in Computer Science or equivalent experience
• 5+ years of meaningful industry experience with a 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 learn new skills
• Ability to execute all aspects of the software development lifecycle
• Ability to manage time in a fast, heavily multitasked environment
• Development experience with Rust, Python and/or C, C++
• Experience with distributed systems and concurrent applications, especially in a Kubernetes environment
• Experience developing and maintaining enterprise software
• Experience deploying, managing, and debugging applications in a Kubernetes environment

Qualifications

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

Skills

• Linux background
• Familiarity with modern cloud-native systems
• Proven work ethic

Benefits

• Base salary range: $152,000 - $241,500 for Level 3, and $184,000 - $287,500 for Level 4
• Eligibility for equity and benefits

Pay

• Base salary determined based on location, experience, and pay of employees in similar positions

Schedule

• Dynamic work environment with many exciting opportunities