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Tycho.AI builds autonomous control software and hardware for aircraft and ground vehicles operating without GPS or comms infrastructure. The stack—PyTorch, TensorFlow, C++, ROS 2, NVIDIA Jetson, and custom FPGA/hardware design (Verilog, SystemVerilog, VHDL, Lattice)—reflects a dual engineering challenge: AI-first perception at the edge, plus low-level embedded systems integration. Active hiring (8 engineering roles in 30 days, mostly mid-level) and project velocity around FPGA prototyping, motion planning, and onboard software indicate they're scaling from research into production-grade systems for defense and commercial platforms.
Tech Stack 38 technologies
Core StackPyTorch TensorFlow Python C++ GitHub Actions Docker Lattice Linux Jira Git C RTOS ROS 2 STM32CubeMX CMake Embedded Linux Verilog SystemVerilog VHDL Tcl NVIDIA Jetson FPGA Protocol Buffers CI/CD bash Ardupilot Betaflight Altium GNSS FPGAs+3 more
AdoptingNVIDIA Jetson
What Tycho.AI Is Building
◆Challenges
- Managing long-lead components
- Supply chain geopolitical risks
- Scaling prototype to production
- Bridging research to production autonomy systems
- Maturing software components into a robust system
▲Active Projects
- Build inventory tracking system
- Develop rapid prototyping sourcing strategy
- Identify and mitigate supply chain risks
- Accelerator development for autonomous systems
- Fpga prototyping platform development
- On-board and off-board software for unmanned aerial vehicle products
- Integrate new capabilities into real-world platforms
- Air vehicles
- Electrical board assemblies
- Motion planning and control systems for autonomous vehicles
Hiring Activity
9 roles · 8 in 30d
Department
Seniority
Company intelligence
