# Robotics Infrastructure Engineer at Tutor Intelligence

- Company: Tutor Intelligence
- What the company does: Tutor builds generally capable robots and puts them to work. Delivered in days not years, from $14 an hour. Backed by AI Grant and USV.
- Company website: https://www.tutorintelligence.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: Watertown, MA
- Work setup: On-site
- Pay: $100K to $300K base salary per year (USD)
- Posted: 2026-04-10
- Apply by: 2026-10-08
- Apply: https://jobs.lever.co/tutorintelligence/fdb1c47e-4685-4ac7-b57f-f1ba1077c3ec
- Page: https://www.1752.vc/careers/jobs/tutor-intelligence-robotics-infrastructure-engineer/

## About the role

We build robots that run 24/7 in production environments. We're looking for a hands-on engineer to own the reliability, infrastructure, and developer tooling that keeps our fleet running and our engineering team fast. You'll split your time between robot-side systems work, cloud infrastructure, and building automation that multiplies the team's output.

## What they're looking for

- 3+ years of Python in a systems context — not web/ML Python, but the kind where you deal with processes, hardware I/O, async, and real-time constraints
- Strong Linux systems knowledge: Memory management, device management, systemd, containers, networking, kernel tuning
- Infrastructure as code experience: Declarative infrastructure and configuration management tools. You've managed IAM, CI runners, secrets, and machine images programmatically
- Experience with real hardware: Robot arms, depth cameras, grippers, force/torque sensors, pneumatics, or similar
- CI/CD ownership: You've not just used CI — you've owned it. Runner infrastructure, flaky test triage, build caching, GPU-enabled pipelines
- Strong debugging instincts: You can go from a vague production symptom to root cause across hardware, OS, network, and application layers

Tags: R&D - Software