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Tycho.AI

Resilient autonomous navigation for unmanned vehicles

Software Integration & Test Engineer - Autonomy & Flight Test

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeCambridge, MA, USA

About the Job

Requirements

  • A bachelor's or advanced degree in Computer Science, Aerospace Engineering, Electrical Engineering, or a related field.
  • Experience integrating and testing software on complex hardware systems such as unmanned aerial systems, robotics, or automotive systems.
  • Strong scripting and automation skills, with the ability to read, build, and debug C and C++.
  • Experience with test-log analysis and data pipelines such as MCAP, rosbag, or PX4 Flight Review.
  • Comfort with Linux, Git, and continuous-integration systems such as GitHub Actions or Jenkins.
  • Hands-on experience with simulation or hardware-in-the-loop test environments.
  • Willingness to travel to test sites, work early mornings and in variable weather, and spend hands-on time with vehicles.
  • Authorization to work in the United States.

Responsibilities

  • Own the integration path from branch to flight by pulling feature branches, building and deploying them to the vehicle, and validating them through software-in-the-loop, hardware-in-the-loop, and flight testing.
  • Operate and maintain software-in-the-loop and hardware-in-the-loop simulator systems and configurations for autonomy, perception, and flight-control stacks.
  • Develop automated regression tests and integrate them into continuous integration.
  • Plan and execute flight-test campaigns, including 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.

Desired Qualifications

  • Experience with PX4, ArduPilot, MAVLink, ROS2, and ground-control stations.
  • Prior unmanned aerial system flight-test, range-operations, or test-engineering experience.
  • Part 107 certification.
  • Familiarity with GPS-denied navigation, visual-inertial odometry, simultaneous localization and mapping, or sensor-fusion systems and their failure modes.

About the Company

Tycho.AI

Resilient autonomous navigation for unmanned vehicles

Tycho AI builds navigation and AI systems for unmanned vehicles that can operate without GPS or reliable communications. Their platform combines proprietary software with multi-modal sensor fusion, visual-inertial odometry, and machine learning, running on custom low-SWaP hardware such as FPGAs and ASICs. This enables real-time, edge-based decision-making and precise navigation even in harsh environments, without needing a remote operator. The product is modular and interoperable, so it can work across different drone and autonomous vehicle platforms. Unlike many rivals, Tycho AI targets GPS-denied and contested scenarios, with field-tested performance for high-speed, low-altitude maneuvers and obstacle avoidance, and a strong emphasis on government and military contracts. The company aims to scale its autonomous navigation technology across defense and commercial customers, accelerating product development, flight testing, and deployments with government partners.

Company size
11-50
Company stage
Early VC
Total funding
$20M
Headquarters
Cambridge, MA
Founded
2022

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