Senior Dev Platform Engineer, Ai-native Development

NVIDIA NVIDIA · Semiconductors · Yokneam, Israel +1

Senior Dev Platform Engineer to build infrastructure for AI-assisted software development, focusing on workflow automation, multi-agent collaboration, AI-powered reviews, and enterprise tool integration.

What you'd actually do

  1. Build and extend process workflow automation tools — managing the pipeline from specification to merge, enforcing review gates per risk level.
  2. 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.
  3. Build AI-powered review orchestration — deploying parallel expert reviewers with domain-specific configurations.
  4. Integrate AI development workflows with enterprise tools (issue trackers, source control, CI/CD pipelines) — auto-status updates, AI agent assignment, work breakdown.
  5. Develop Markdown-based documentation workflows with review plugins.

Skills

Required

  • B.Sc. or M.Sc. in Computer Science, Electrical or Computer Engineering (or equivalent experience)
  • 7+ years of industry experience in software engineering
  • focus on developer tools, infrastructure, or platform engineering
  • Strong software engineering fundamentals
  • Experience with developer workflows: Git, CI/CD, code review systems, branch strategies
  • Comfortable with AI-assisted development
  • Can work across the stack — CLI tools, APIs, webhooks, integrations
  • Strong programming skills (Python required; shell scripting, familiarity with web APIs)

Nice to have

  • 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

What the JD emphasized

  • AI-assisted software development at scale
  • multi-agent collaboration platforms
  • AI-powered review pipelines
  • AI development workflows

Other signals

  • AI-assisted software development
  • multi-agent collaboration platforms
  • AI-powered review pipelines
  • developer tooling