Staff Firmware Engineer

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.

As a Staff Firmware Engineer on the Core Platform team in Boston, you will play a critical role in developing the firmware that powers our next generation of humanoid robots. In this position you will work at the intersection of robotics, embedded systems, and real-time control, building the software that enables advanced motion, balance, and interaction with complex environments. You’ll collaborate closely with hardware and systems teams to integrate microcontrollers, sensors, and actuators, while designing robust, high-performance firmware and real-time algorithms.

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  Develop and debug firmware for humanoid robots, focusing on motion control, stabilization, sensor integration and ethernet based communication.

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  Collaborate with hardware teams to design seamless integration of microcontrollers and peripherals.

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  Design and implement drivers for motors, sensors, and communication protocols.

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  Optimize firmware for performance, reliability, and power efficiency.

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  Develop and test real-time control algorithms for robotic movement and balance.

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  Lead and mentor junior engineers, conducting code reviews and promoting best practices.

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  Ensure robust security and fail-safe mechanisms in embedded systems.

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  Maintain technical documentation and manage version control of firmware.

• 8+ years of experience in embedded systems development, preferably in robotics.

• Proficiency in C and C++ for microcontrollers, with experience in RTOS (e.g., FreeRTOS, Zephyr) and bare-metal systems.

• Hands-on experience with ARM Cortex, STM32, or similar platforms.

• Familiarity with communication protocols such as UART, SPI, I2C, CAN, and Ethernet.

• Strong understanding of control systems, kinematics, and motion algorithms.

• Experience with debugging tools like oscilloscopes and logic analyzers.

• Working knowledge of Git, CI/CD, and Agile methodologies.

• Preferred experience with ROS/ROS 2, machine learning, or computer vision.

• Experience with and/or an interest in using Rust for embedded systems