Jobs at Tycho.AI

Design and develop electrical board assemblies and RF chains for autonomous air vehicles: select components, perform PCB layout, prototype, test, debug, run RF link-budget analyses, and implement encoding/compression as needed. Support field testing and production deployment.

Design and optimize computer-vision and robotics ML models for constrained edge devices, build large-scale training and fine-tuning pipelines, compress and deploy models to embedded accelerators, profile on-device inference for latency and accuracy, and write maintainable Python/C++ code while staying current on state-of-the-art techniques.

Design, develop, and optimize onboard and offboard software for unmanned aerial vehicles. Implement and integrate robotics and computer-vision capabilities, write clean C++ and Python code, and contribute to CI/CD, test-driven development, large-scale dataset evaluation, simulation, and integration pipelines to move research into production.

Design and implement C++ and C real-time software for autonomous aerial and ground systems. Integrate ROS2 and STM32 Cube platforms, work on embedded RTOS, maintain build pipelines with CMake, Docker, and GitHub Actions, and collaborate with hardware and autonomy teams to deliver mission-ready autonomy.

Design, implement, and validate perception and autonomy software for computer vision, SLAM, and sensor fusion. Integrate systems onto real platforms, apply state-of-the-art ML techniques (e.g., ViT), and develop real-time multi-threaded systems for challenging sensor environments.

Design, implement, and validate motion planning, trajectory optimization, and flight control software for autonomous vehicles; integrate algorithms onto real platforms, prototype rapidly, and apply state-of-the-art research.

Design, implement, and validate state estimation and autonomy software for motion planning, trajectory optimization, and flight control; integrate algorithms into real robotic platforms; prototype hardware/software systems and apply state-of-the-art navigation techniques for GPS-denied environments.