Field AI
Embedded Systems Engineer, Humanoid Robotics
$100K–$240K
Boston, MA · On-site · Full-time · Posted Jul 20, 2026
- Experience
- Minimum 3+ years of hands-on embedded systems experience; candidates across mid-level to senior and staff levels are welcome.
- Education
- B.S., M.S., or Ph.D. in Computer Engineering, Electrical Engineering, Robotics, or a related field.
About the job
Develop embedded computing systems and sensor-to-actuator software for humanoid robots, optimizing for real-time performance, safety, and deployment across different robot platforms.
What you'll do
- Design and bring up compute platforms, firmware, board support packages, bootloaders, and Linux kernel components.
- Integrate sensor, actuator, communication, and timing interfaces; build real-time data pipelines and enable edge ML inference.
- Lead compute architecture and collaborate across teams on platform generalization, testing, and safety monitoring.
What they ask for
- B.S., M.S., or Ph.D. in Computer Engineering, Electrical Engineering, Robotics, or a related field.
- 3+ years of hands-on embedded systems experience.
- Proficiency in C++ and Python; experience with firmware, Linux kernel and device drivers, and BSPs.
- Experience with sensor/actuator drivers, real-time communication protocols, and ROS/ROS2 and DDS.
Nice to have
- Humanoid or legged robotics experience, including manipulation or robot control.
- Kernel-level real-time development, safety-critical systems, or ML-team collaboration on embedded hardware.
Pay
USD 100,000–240,000 per-year-salary (base salary)
Tools
C++, Python, Linux, Jetson, CUDA, TensorRT, ROS/ROS2, DDS
AI focus
Enable accelerated, real-time edge inference and integrate the compute platform with perception and manipulation models, meeting latency, memory, and throughput needs.
Model-written summary · the original posting is authoritative