Staff Engineer, GenAI Tooling & DevEx

What you'll do

• Design, develop, and maintain GenAI-enabled developer tools for C++, Python, and Node.js software projects.
• Partner with robotics and autonomy engineers to identify high-friction workflows and convert them into secure, repeatable GenAI-assisted tooling.
• Extend our custom GenAI harness with Python or Bash tools, secure LLM routing, audited execution paths, and local containerized environments.
• Build integrations across GitLab, Jira, Confluence, and internal developer systems to provide GenAI tools with useful engineering context.
• Improve build, test, and developer-environment workflows, including GenAI-assisted adoption of reproducible Nix development environments.
• Support engineers adopting GenAI tooling through documentation, examples, troubleshooting, and feedback-driven improvements.

Required qualifications

• Typically requires a bachelor's degree in Computer Science, Computer Engineering, or related technical discipline, or equivalent practical experience.
• Fluent with GenAI-assisted development. You can pair with AI tools to explore ideas, generate code, debug issues, and quickly turn rough concepts into working prototypes.
• Hands-on experience building LLM-powered tools for software development.
• Direct experience writing scripts (Bash, Python) and utilizing webhooks/APIs to automate and integrate engineering tools (such as Jira, Confluence, and GitLab).
• Hands-on experience with containerization (Docker, multi-stage builds) and package managers (such as Conan, Poetry, or Nix).
• Familiarity with deploying and managing application workloads in cloud environments (such as Azure Gov Cloud or AWS).
• Experience with secure software development practices, secret management, and identity providers (Active Directory, Entra ID).
• Ability to obtain and maintain an active U.S. SECRET security clearance (U.S. citizenship required).

Preferred qualifications

• Practical experience building, maintaining, and scaling enterprise CI/CD systems.
• Experience developing tools in CUI and ITAR environments.
• Expertise in tuning LLMs for specialized use.
• Familiarity with deploying custom LLMs.