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Embedded Systems Engineer

Revel Robotics · Prague, Prague, Czechia

Robotics Engineering · 11-50 employees

Jun 22
Mid (2-5 yrs) Full-time Czechia
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About the role

Develop firmware for multi-camera and HD-sEMG synchronization on the NG hub, implementing sub-millisecond hardware timestamping. Build the on-device capture and offload pipeline while collaborating with the ML team on data integrity.

What they look for

C++ Embedded Linux Microcontrollers MIPI CSI ADC Biosignal Analog Front-ends Hardware Bring-up Logic Analyzers Oscilloscopes NVIDIA Jetson RTOS Firmware Development Hardware Timestamping Data Integrity

Requirements

Requires strong proficiency in C/C++ for embedded Linux or microcontrollers and experience with cameras, ADCs, or biosignal front-ends. Candidates must be comfortable with hardware debugging tools like scopes and logic analyzers.

Full description

REVEL 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.

Responsibilities

  • Develop firmware for multi-camera and HD-sEMG synchronisation on the NG hub
  • Implement sub-millisecond hardware timestamping across sensors
  • Build the on-device capture and offload pipeline
  • Bring up new boards and debug at the hardware level
  • Work closely with the ML team on data format and integrity

Requirements

  • Strong C/C++ on embedded Linux and/or microcontrollers
  • Experience with cameras (MIPI/CSI), ADCs, or biosignal analog front-ends
  • Comfort with scopes, logic analysers and hardware bring-up
  • Solid software engineering practices

Bonus qualifications

  • Experience with NVIDIA Jetson or similar edge compute
  • Real-time operating systems
  • Prior wearable or medical-device firmware