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Tycho.AI

Resilient autonomous navigation for unmanned vehicles

Autonomy Engineer - State Estimation

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeCambridge, MA, USA

About the Job

Requirements

  • A Master's or PhD degree in Engineering, Robotics, Computer Science, or a related field, or equivalent working experience.
  • Proficiency in C/C++ with experience shipping production-grade software.
  • A strong foundation in state estimation algorithms, including Kalman filters, complementary filters, and optimization-based smoothing, such as using factor graphs.
  • Experience with GPS-denied and visual navigation techniques, such as visual-inertial odometry.
  • A solid background in linear algebra, probability theory, and optimization.
  • A working understanding of rotorcraft and fixed-wing aircraft flight dynamics.
  • Hands-on experience implementing state estimation software on real robotics vehicles.
  • Comfort developing and reasoning about multi-threaded real-time systems.
  • Applicants must be authorized to work in the United States and may be subject to a government security clearance process.

Responsibilities

  • Design, implement, and maintain autonomy software for motion planning, trajectory optimization, and flight control.
  • Integrate systems into real-world platforms, bridging research and production.
  • Stay current on research and apply state-of-the-art techniques.

Desired Qualifications

  • Experience writing microcontroller code and working with embedded robotics platforms, such as NVIDIA Jetson.
  • Experience building vehicle dynamics simulations based on flight test data.
  • Experience with multi-modal sensor fusion and calibration.
  • Experience with target detection and tracking, preferably using multi-modal sensor data.
  • Familiarity with open-source flight control systems, such as Ardupilot and PX4.

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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