Senior Robotics Systems Engineer
$160,000–$265,000 year
On-siteMilpitas, California, United States
Milpitas, California, United StatesOn-sitePart Time$160,000–$265,000 yearSenior LevelMasters DegreeAI RoboticsStartup
Part TimeSenior LevelMasters DegreeStartupAI Robotics
Job Summary
Design software interfaces between high-level robot applications and low-level sensors, actuators, embedded controllers, and communication buses. Integrate and debug complex robotic systems spanning software, embedded, networking, electrical, and mechanical domains while diagnosing performance, reliability, timing, and hardware-interface issues. Drive system reliability and scalability through rigorous testing and root-cause analysis of mechatronic systems, mechanisms, and test fixtures. Requires 5 days/week in-office collaboration with the team.
Required Qualifications
- BS/MS in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or equivalent practical experience
- 4+ years of hands-on robotics experience in industry, academia, or research labs, with a track record of building, integrating, and deploying real robotic systems
- Experience developing drivers, hardware abstraction layers, or software interfaces for sensors, actuators, or embedded devices
- Hands-on experience with several of the following: ROS/ROS2, real-time or embedded Linux, fieldbus or device communications, distributed middleware, sensor/actuator integration, and performance optimization
- Ability to design and troubleshoot basic electrical circuits and mechanical components for robotic systems
- Strong debugging, system integration, and root-cause analysis skills
- Requires 5 days/week in-office collaboration with the team
Desired Qualifications
- Experience with humanoids, mobile manipulators, or similar platforms
- Experience with Linux kernel development, kernel modules, device drivers, or low-level systems software
- Experience optimizing communication, latency, reliability, or observability in distributed robotic systems
- Experience with AI-enabled robotic systems, teleoperation/data-collection devices (e.g., Gello- or UMI-style systems), and real-world robot data pipelines
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