Embedded Systems Engineer

About REVELREVEL is an AI robotics company developing physical intelligence for general-purpose humanoid robots. We capture the force, dexterity and intent of human work with our Neural Gambit wearable, and use it to train RAI, the intelligence that powers our robots. REVEL is headquartered in Palo Alto, California, with R&D and engineering facilities in Prague and Hradec Králové, Czech Republic. This role is on-site with our engineering team in the Czech Republic.Neural Gambit only works if the capture is perfectly synchronised. We're looking for an Embedded Systems Engineer to bring the NG hub and capture pipeline to life, sensors, sync, and on-device compute.ResponsibilitiesDevelop firmware for multi-camera and HD-sEMG synchronisation on the NG hubImplement sub-millisecond hardware timestamping across sensorsBuild the on-device capture and offload pipelineBring up new boards and debug at the hardware levelWork closely with the ML team on data format and integrityRequirements3+ years of relevant professional experienceStrong C/C++ on embedded Linux and/or microcontrollersExperience with cameras (MIPI/CSI), ADCs, or biosignal analog front-endsComfort with scopes, logic analysers and hardware bring-upSolid software engineering practicesBonus qualificationsExperience with NVIDIA Jetson or similar edge computeReal-time operating systemsPrior wearable or medical-device firmwareBonusesWork 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 loopThe Team: Colleagues from NVIDIA, SpaceX and Neura Robotics, and founders you work with directly. No layers, no process between you and the decisionsEquity for Key Roles: For select positions, meaningful stock options mean you're not just working here, you own a piece of the outcomeSalary and Quarterly Bonus: Strong base pay plus a quarterly bonus, in a city where it goes furtherUnlimited 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 resultsYour Own Hardware: A top-spec GPU workstation, cluster access, and hands-on time with the robots you're building. Not a software sandboxKeep Learning: Conference budget for select roles (GTC, CoRL, ICRA), and room to publish and contribute to open source where our IP allowsPrague, On-Site: Robots need hands, so we work together in our Prague lab. Moving here? We sponsor your work visa and cover relocationHealth and Fitness: Multisport card (from December 2026), extra paid sick days, and an employer pension contributionLunch, On Us: Complimentary lunch every working day, plus coffee, snacks and drinks whenever you need a boostHow to applyApply through the link on this posting. Include a short description of an environment you administered or took over: its size, what you changed about how access or devices were managed, and what you would do differently now.