REVEL captures the skill of experienced workers, turns it into robot intelligence, and deploys that capability where work is hard to staff. Neural Gambit captures the force, motion and intent behind expert work. RAI learns from that data. Genesis robots perform the resulting tasks on site.
The company was founded in 2025 and is building its founding team in the Czech Republic. The team is distributed across offices, a lab and a workshop, works with external contractors and partners, and handles customer and partner data that has to stay controlled.
Help design, implement, and tune control algorithms under guidance from senior engineers
Support testing of controllers in simulation and on real hardware
Assist in debugging control and hardware-integration issues
Support documentation and testing practices
Coursework or project experience with control theory fundamentals (PID, state-space, feedback control)
Proficiency in Python and/or C++; MATLAB/Simulink experience is a plus
Understanding of basic robot dynamics and kinematics
Working knowledge of ROS or ROS2 (nodes, topics, launch files) from coursework, personal projects, or prior internships
Basic familiarity with Linux and the command line
Comfortable using Git for version control
Strong problem-solving skills and willingness to learn in a hands-on environment
Experience tuning controllers on real hardware, not just in simulation
Exposure to state estimation techniques (Kalman filters, sensor fusion)
Experience with simulation tools (Isaac Sim, Gazebo, MuJoCo, or similar)
Familiarity with motor/actuator control and embedded/real-time systems
Experience with sensors relevant to feedback control (encoders, IMUs, force/torque sensors)
Contributions to open-source robotics projects or a robotics club/competition team (FRC, RoboCup, etc.)
Work That Ships: We capture how skilled humans work, their force, touch, and judgment, and our robots do the work. You put robots on a paying customer's floor, not in a demo loop
The Team: Colleagues from NVIDIA, SpaceX, and Neura Robotics, and founders you work with directly. No layers, no process between you and the decisions
Your Own Hardware: A top-spec GPU workstation, cluster access, and hands-on time with the robots you're building. Not a software sandbox
Keep Learning: Conference budget for select roles (GTC, CoRL, ICRA), and room to publish and contribute to open source where our IP allows
Unlimited Paid Time Off: Real flexibility to take time away when you need it. We trust our people to own their work, their time, and their results
Prague, On-Site: Robots need hands, so we work together in our Prague lab. Moving here? We sponsor your work visa and cover relocation
Lunch, On Us: Complimentary lunch every working day, plus coffee, snacks, and drinks whenever you need a boost
Apply through the link on this posting.
Skills Required
- Coursework or project experience with control theory fundamentals, including PID, state-space, and feedback control
- Proficiency in Python and/or C++
- Understanding of basic robot dynamics and kinematics
- Working knowledge of ROS or ROS2, including nodes, topics, and launch files
- Basic familiarity with Linux and the command line
- Comfort using Git for version control
- Strong problem-solving skills and willingness to learn in a hands-on environment
- Experience tuning controllers on real hardware
- Exposure to state estimation techniques such as Kalman filters and sensor fusion
- Experience with simulation tools such as Isaac Sim, Gazebo, MuJoCo, or similar
- Familiarity with motor or actuator control and embedded or real-time systems
- Experience with feedback-control sensors, including encoders, IMUs, or force/torque sensors
- Contributions to open-source robotics projects or participation in a robotics club or competition team
What We Do
REVEL is an AI robotics company developing physical intelligence for general-purpose humanoid robots. The company captures the force, dexterity, and intent of human work through its Neural Gambit wearable to train RAI, the intelligence powering its robots. It serves as a modern robotics technology firm providing training data, infrastructure tools, and an AI data layer for the next generation of humanoid robots.
