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).

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
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Senior Dev Platform Engineer, AI-Native Development

Key skills