Senior Dev Platform Engineer, AI-Native Development

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.
  
  

• 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.
  
  

• 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.