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Robotics Infrastructure Engineer
Job Summary
Own and scale the core systems that ensure robots run reliably in real-world production environments. Operate across the full stack, from low-level robot software and Linux systems to cloud infrastructure, CI/CD, and developer tooling. Work directly with leadership to identify bottlenecks, build solutions, and drive engineering velocity using AI coding agents for automation.
Essential Functions
- Own and improve robot-side software and infrastructure stack, including Python-based control systems, Linux environments, CI/CD pipelines, and cloud infrastructure for 24/7 production reliability.
- Work with leadership to identify engineering bottlenecks like slow deploy cycles or flaky CI, then design and roll out systems to boost velocity.
- Build and operate AI-powered engineering automation, including agents for triaging CI failures, security checks, and multi-step debugging.
- Debug complex issues spanning hardware, operating systems, networking, and application layers, shipping fixes quickly to production.
- Design and build simulation, testing, and validation infrastructure like camera simulation and kinematics workflows for rapid iteration.
- Act as a force multiplier by tackling cross-cutting problems and driving adoption across engineering teams.
Required Qualifications
- 3+ years of experience in robotics infrastructure or systems engineering using Python.
- Hands-on experience with real robotics hardware such as arms and cameras.
- Owned CI/CD pipelines and managed infrastructure as code.
- Deep Linux systems knowledge including kernel, networking, and containers.
- Systems-level Python programming with processes, hardware I/O, and async.
- Comfortable with rapid iteration, minimal oversight, and managing change efficiently.
- Must work on-site 5 days per week.
Preferred Qualifications
- Directed AI coding agents for complex engineering tasks.
- Background in quantitative fields like Math or Physics.
- Experience with NixOS or similar reproducible build systems.
- Active GitHub with personal projects or open-source contributions.
- Experience with low-level programming, Nix, or QNX.
Technical Skills
- Python (systems-level, processes, hardware I/O, async)
- Linux (kernel, networking, containers)
- CI/CD pipelines
- Infrastructure as code
- Robotics hardware (arms, cameras)
- AI coding agents
- Simulation and testing infrastructure
- Cloud infrastructure
- NixOS or reproducible builds
- Low-level programming
Education & Certifications
Bachelor's degree from a top US university.
Compensation & Benefits
Competitive salary range of $120,000 - $175,000 based on experience.