We are looking for a strong Embedded Engineer to join our team and lead development for advanced autonomous robotic systems. The role involves deep work with hardware, low-level software, and Linux-based high-level components. Candidates coming from robotics or autonomous systems companies will be considered with flexibility regarding years of experience. This position reports directly to Itay.
About the Role
You will lead firmware development for an autonomous mobile robotics platform that integrates real-time control, video sensors, edge AI, and multi-modal communications for precision operation in remote environments. The role combines hands-on embedded development with system-level collaboration across perception, hardware, and software teams.
Key Responsibilities
Lead the architecture, design, and implementation of embedded firmware for robotic and autonomous systems
Develop and maintain real-time control code (RTOS or bare-metal)
Integrate motor drivers, IMU and environmental sensors, and wireless communication modules
Develop board support packages and low-level drivers for MCUs such as STM32
Collaborate with perception teams working on Linux-based compute platforms (Jetson or similar) to synchronize control and vision processes
Mentor and guide embedded engineers through design reviews, debugging, and development best practices
Drive secure boot implementation, OTA capabilities, and low-power optimization for field-deployed, battery-solar systems
Work cross-functionally to deliver complete robotic solutions combining hardware, embedded software, and Linux-based components
Required Qualifications
Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field
10-15 years of hands-on embedded firmware development experience (flexible for candidates with strong robotics background)
Expertise in C/C++, microcontroller architectures, and RTOS-based development
Proven experience with BSP development and peripheral driver design (SPI, UART, I2C, CAN)
Background in robotics, autonomous systems, or drones
Familiarity with integrating video sensors and using GStreamer or OpenCV
Understanding of low-power IoT system design and field-deployed embedded solutions
Experience with wireless communication protocols such as Zigbee, LoRa, BLE, and Wi-Fi
Demonstrated leadership experience in embedded teams or multi-disciplinary engineering environments
