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.
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.
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.
Integrate AI capabilities with build, source control, and DevOps platforms including GitLab, Jenkins, Git, Docker, CMake, Bazel, Jira, and related engineering tools.
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.
Contribute to engineering guidelines, standards, and technical direction for AI-assisted software development, build automation, testing, and release engineering across NVIDIA.

BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
2+ years of software engineering experience with strong programming skills in Python.
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 with CI/CD systems, software development workflows, and source control tools such as Git or Perforce.
Familiarity with build systems such as CMake, Bazel, Make, or similar technologies.
Strong analytical and problem-solving skills with experience automating complex engineering processes.
Excellent collaboration and communication skills with the ability to work effectively across multiple engineering organizations.

Software Engineer – Drive OS

Key skills