Senior Embedded Engineer

Senior Embedded Engineer - Autonomous Robotics

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