Principal Engineer, Data Center Power Software
Listed on 2026-05-31
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Software Development
Software Engineer, Cloud Engineer - Software, DevOps, AI Engineer
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
- Gather use cases and requirements, translate them into software roadmaps, and execute those roadmaps across internal NVIDIA teams and external partners.
- Report project status, risks, help needed, and roadmap pivots to internal and external executives via status reports and in-person meetings.
- Brokering technical discussions between highly technical subject matter experts.
- Leverage AI tools and workflows to quickly iterate on designs, prototypes, documentation, tests, and code.
- Architect distributed, robust, and scalable GoLang and Rust system software deployed to monitor and manage large datacenters.
- BS or higher in Computer Science or equivalent experience.
- 15+ years of meaningful industry experience with a strong scalable system software development background.
- Experience with APIs and interface design.
- Experience with AI tools and development workflows.
- Outstanding written and verbal interpersonal skills.
- Business‑level proficiency in English.
- Strong motivation and commitment to learn new skills.
- Ability to manage time in a fast, heavily multitasked environment.
- Development experience with Rust, Python, and/or GoLang.
- Development experience with distributed systems and concurrent applications, especially in a Kubernetes environment.
- Ability to quickly understand unfamiliar technical domains, identify core problems, and translate ambiguous requirements into actionable engineering plans.
- Skilled at producing clear technical documentation, design documents, and status updates that keep cross‑functional partners aligned.
- Track record of identifying process inefficiencies and introducing automation, tooling, or AI‑powered workflows that measurably improve team output.
- Development experience in relevant coding languages like GoLang and Rust.
- Experience with SCADA or Data Center power‑related software.
- Background with containers (e.g., Docker, OCI), orchestration frameworks, and logging/telemetry backends with Kubernetes monitoring stacks 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.
- Exposure to GPU programming with CUDA.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $272,000 USD – $431,250 USD. You will also be eligible for equity and benefits.
Equal Employment OpportunityNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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