About Tycho.AI

Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and autonomy solutions for unmanned systems operating in GPS-denied and contested environments. We are a fast-growing, dual-use technology company at the forefront of national security and commercial innovation, with a mission to push the boundaries of what autonomous systems can achieve.

Joining Tycho.AI means being part of a team shaping the next decade of autonomy from defense applications to commercial opportunities in areas like logistics, disaster response, and beyond. If you want to work at the cutting edge of AI/ML and robotics with a company that’s poised for major impact and growth, we want to hear from you.

About the Role

As an Autonomy Engineer - State Estimation at Tycho.AI, you will design, build, and validate state estimation systems for intelligent autonomous vehicles. You will collaborate with a cross-functional team of electrical, mechanical, and software experts to explore new concepts through rapid, iterative prototyping. We are seeking adaptable engineers who collaborate effectively across disciplines, brainstorm innovative ideas, and navigate through emerging embedded technologies. Most importantly, you should have a proven ability to drive a concept through the prototype phase and excel in hardware/software co-development.

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.

Requirements

• 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.

• Strong foundation in state estimation algorithms, including Kalman filters, complementary filters, and optimization-based smoothing (e.g., using factor graphs).

• Experience with GPS-denied and visual navigation techniques, such as visual-inertial odometry (VIO).

• Solid background in linear algebra, probability theory, and optimization.

• Working understanding of rotorcraft and fixed-wing aircraft flight dynamics.

• Hands-on experience implementing state estimation software on real robotics vehicles.