Principal Engineer, Data Center Power Software at NVIDIA

**Who this is for** This role is for a highly experienced systems software architect with over 15 years of industry expertise, tasked with developing robust sof

Work type: remote

Location: US, WA, Redmond | US, Remote | US, WA, Seattle

Salary: $272,000 – $431,250/yr

Type: Full-time

Summary

**Who this is for** This role is for a highly experienced systems software architect with over 15 years of industry expertise, tasked with developing robust software solutions to manage and monitor large-scale data center power infrastructure. **Key highlights** You will lead the design and implementation of scalable software roadmaps, acting as a technical broker between internal and external stakeholders while leveraging modern AI tools to accelerate development. **You might be a good fit if you...** - Possess 15+ years of experience in distributed systems and scalable software architecture. - Are proficient in GoLang, Rust, and Python, with deep experience in Kubernetes environments. - Have a strong track record of translating complex, ambiguous requirements into actionable engineering plans. - Can effectively communicate technical roadmaps and project risks to executive-level stakeholders.

Job Description

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.

What you'll be doing:

Gathering use cases + requirements, translating those into software roadmaps, and executing those roadmaps across internal NVIDIA teams and external partners.

Reporting 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

Leveraging AI tools and workflows to quickly iterate on designs, prototypes, documentation, tests, and code.

Architecting distributed, robust, and scalable GoLang and Rust system software, deployed to monitor and manage large datacenters

## What we need to see:

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 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 actional engineering plans.

Skilled at producing clear technical documentation, design docs, and status updates that keep cross-functional partners aligned.

Track record of identifying process inefficiencies and introducing automation, tooling, or AI-power workflows that measurably improve team out.

## Ways to stand out from the crowd:

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 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. Exposure to GPU programming with CUDA.

NVIDIA is often recognized as one of the technology industry's most esteemed employers. We have some of the brightest and most driven individuals in the world working with us. If you are a self-motivated and imaginative individual, we encourage you to apply!

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](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until April 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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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