Software Engineer - Drive Os

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA +1 · Remote

Software Engineer role focused on developing AI-powered agentic workflows to automate and optimize build, release, CI/CD, and developer productivity processes within NVIDIA DRIVE OS. The role involves building intelligent AI agents using LLMs, RAG, and prompt engineering, integrating them with DevOps tools, and collaborating with engineering teams to enhance developer experience and software quality.

What you'd actually do

  1. Design and develop AI-powered agentic workflows that automate and optimize software build, release, CI/CD, and developer productivity processes across the DRIVE OS software lifecycle.
  2. Build intelligent AI agents and self-healing automation that proactively detect build failures, analyze root causes, recommend or implement fixes, and improve software delivery reliability.
  3. Develop AI-native solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and modern orchestration frameworks to accelerate issue resolution, developer support, documentation, and engineering workflows.
  4. Integrate AI capabilities with build, source control, and DevOps platforms including GitLab, Jenkins, Git, Docker, CMake, Bazel, Jira, and related engineering tools.
  5. Collaborate closely with Build & Release, Developer Efficiency, and software engineering teams to identify automation opportunities, modernize engineering workflows, and deliver scalable technology solutions that improve developer experience and software quality.

Skills

Required

  • Python
  • LLMs
  • agentic workflows
  • Retrieval-Augmented Generation (RAG)
  • prompt engineering
  • tool calling
  • agent orchestration frameworks
  • CI/CD systems
  • software development workflows
  • Git
  • Perforce
  • CMake
  • Bazel
  • Make

Nice to have

  • multi-agent architectures
  • agent evaluation frameworks
  • Model Context Protocol (MCP)
  • AI workflow orchestration platforms
  • OpenAI
  • Anthropic
  • Hugging Face
  • LangChain
  • LlamaIndex
  • AutoGen
  • CrewAI
  • self-healing infrastructure
  • autonomous operations
  • AI-powered developer assistants
  • intelligent software diagnostics

What the JD emphasized

  • Hands-on experience building applications using modern AI technologies, including LLMs, agentic workflows, deterministic oracles, Retrieval-Augmented Generation (RAG), prompt engineering, tool calling, and agent orchestration frameworks.
  • Experience designing or implementing AI agents or intelligent automation for software engineering or developer productivity workflows.
  • Experience crafting production-grade agentic AI systems that bring to bear deterministic oracles, tool execution, workflow orchestration, and verification frameworks to deliver reliable autonomous workflows.

Other signals

  • AI-powered agentic workflows
  • automate software delivery
  • improve developer productivity
  • LLMs
  • RAG
  • prompt engineering
  • orchestration frameworks