Tycho.AI - Software Integration & Test Engineer – Autonomy & Flight Test

Cambridge, Massachusetts, United States+ Equity2w ago

In Office NA Robotics Automotive Test Engineer Automation Engineer C++Reporting Data Analysis Git Linux

Requirements

• Bachelor's or advanced degree in Computer Science, Aerospace, Electrical Engineering, or related field. • Experience integrating and testing software on complex hardware systems (UAS, robotics, automotive, or similar). • Strong scripting and automation skills; able to read, build, and debug C/C++. • Experience with test log analysis and data pipelines (MCAP/rosbag, PX4 Flight Review, or similar). • Comfortable with Linux, Git, and CI systems (GitHub Actions, Jenkins, or similar). • Hands-on experience with simulation and/or hardware-in-the-loop test environments. • Willingness to work in the field: travel to test sites, early mornings, variable weather, and hands-on time with vehicles. • Experience with PX4, ArduPilot, MAVLink, ROS2, ground control station etc. • Prior UAS flight test, range operations, or test engineering experience; Part 107 certification. • Familiarity with GPS-denied navigation, VIO/SLAM, or sensor fusion systems and their failure modes.

Responsibilities

• Own the integration path from branch to flight: pull feature branches, build and deploy them to the vehicle, and validate them through SIL, HIL, and flight test. • Operate and maintain SIL/HIL simulator systems and configurations for the autonomy, perception, and flight control stacks. • Develop automated regression tests and integrate them into CI. • Plan and execute flight test campaigns: test cards, safety checklists, ground station operations, and data analysis. • Triage failures, reproduce field issues in the lab, and file well-scoped bug reports with logs, telemetry, and reproduction steps. • Build tooling for log ingestion, flight data review, and test reporting, and maintain traceability between software builds and flight results.

Benefits

• Be part of a rapidly scaling startup defining the future of autonomous intelligence. • Collaborative, high-trust culture that values innovation, execution, and continuous learning. • Competitive salary, meaningful equity, and generous benefits package. • Equal Employment Opportunity (EEO) Statement: