Robotics Autonomy Engineer - Triage

About the Job

Field AI is building the future of autonomy-from rugged terrain to real-world deployment. We’re on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer - Triage, you’ll be the fastest link between what our robots experience in the field and how our autonomy stack improves, reproducing behaviors, finding root causes, and driving rapid fixes and tests that make every deployment smoother than the last. You’ll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation. If solving hard puzzles on real robots and seeing your fixes land in the field within days excites you, and you want to work where your code hits the ground (literally)-this is your role. This is Field AI

What You’ll Get To Do

• Triage incoming reports from field deployments and customer sites, assess impact, and decide what gets fixed now, what gets routed, and what gets tracked.
• Reproduce field behaviors from logs, telemetry, and recordings, both in simulation and on hardware.
• Root cause behaviors that span perception, localization, planning, control, and integration boundaries, and ship targeted fixes quickly.
• Turn every fix into a regression test, scenario, or hardware-in-the-loop (HIL) check so the improvement holds.
• Build triage tooling for log analysis, event detection, and trend tracking across robots and sites.
• Run structured test campaigns before releases and help decide when a build is ready for the field.
• Share clear findings and summaries with owning teams, and champion design improvements when patterns emerge.
• Travel occasionally to deployment sites to see robots operate firsthand and support field teams

What You Have

• Bachelor’s or Master’s degree in Robotics, Computer Science, Engineering, or a related field.
• 2+ years of experience working on real autonomous systems in industry or research.
• Strong debugging skills across the full autonomy stack, from sensors and drivers to planning and control.
• Solid programming skills in C++ and Python in Linux-based environments.
• Familiarity with robotics middleware such as ROS/ROS 2.
• Experience analyzing logs, telemetry, and recorded robot data to understand system behavior.
• Comfort working quickly with incomplete information, and communicating clearly with engineers and field teams.

The Extras That Set You Apart

• Experience with release testing, validation, or quality engineering for autonomous systems.
• Experience building simulation based regression pipelines or hardware-in-the-loop test setups.
• Experience with data pipelines and event detection over large volumes of robot data.
• Experience with incident management or defect tracking in a fast moving engineering team.
• Time spent in the field with deployed robots or autonomous vehicles.
• Familiarity with continuous integration and automated test infrastructure.
• Experience with legged, wheeled, or humanoid platforms.