NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. With an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, NVIDIA is looking for a strong technical Dev Platform Engineer to join us in shaping the future of software development. Platform Engineers are builders who turn strategy into daily tooling. Their expertise is practical and broad. They are hands on, producing reliable infrastructure that teams depend on every day.
As a Senior Dev Platform Engineer in the AI-Native Development team, you will build the infrastructure that enables AI-assisted software development at scale. This includes process workflow automation, multi-agent collaboration platforms, AI-powered review pipelines, and integrations with enterprise tools. You will work closely with development teams to understand friction points and translate them into robust, developer-friendly tooling.
What you'll be doing:
Build and extend process workflow automation tools — managing the pipeline from specification to merge, enforcing review gates per risk level.
Design and implement multi-agent collaboration infrastructure — enabling multiple AI agents and humans to work on the same project with isolation, shared state, and handoff protocols.
Build AI-powered review orchestration — deploying parallel expert reviewers with domain-specific configurations.
Integrate AI development workflows with enterprise tools (issue trackers, source control, CI/CD pipelines) — auto-status updates, AI agent assignment, work breakdown.
Develop Markdown-based documentation workflows with review plugins.
Rapidly iterate on tooling based on direct feedback from development teams.
What we need to see:
Hold a B.Sc. or M.Sc. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience).
7+ years of industry experience in software engineering with a focus on developer tools, infrastructure, or platform engineering.
Strong software engineering fundamentals — can build reliable, well-tested tooling that others depend on.
Experience with developer workflows: Git, CI/CD, code review systems, branch strategies.
Comfortable with AI-assisted development — already uses AI coding assistants in daily work.
Can work across the stack — CLI tools, APIs, webhooks, integrations.
Strong programming skills (Python required; shell scripting, familiarity with web APIs).
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Ways to stand out from the crowd:
Experience building MCP servers, AI agent orchestration, or LLM-powered tooling.
Familiarity with enterprise tool APIs (issue trackers, source control platforms, CI systems).
Has contributed to or built developer productivity tools (open-source or internal).
Experience with state machines, pipeline orchestration, or workflow engines.
Knowledge of container orchestration (Docker, Kubernetes) and deployment automation.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! 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.
Skills Required
- B.Sc. or M.Sc. in Computer Science, Electrical or Computer Engineering
- 7+ years of industry experience in software engineering
- Strong software engineering fundamentals
- Experience with developer workflows
- Strong programming skills in Python
- Ability to work in a multi-national corporate environment
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
