Hardware Interface Software Engineer
TLDR
Bridge high-level autonomy with physical hardware by delivering low-latency interfaces, real-time drivers, and robust control for wheeled-legged robots.
Design and implement the software interfaces that decouple our high-level autonomy stack from specific hardware implementations.
Write and maintain high-performance drivers for sensors and actuators.
Implement and optimize communication protocols (e.g., CAN, Ethernet, SPI) to ensure minimal latency and maximum reliability.
Perform system identification of actuator characteristics and optimize the performance of our control loops.
Conduct lab testing and use debugging tools to troubleshoot complex issues at the boundary of software and hardware.
Develop software-level safety monitors and emergency-stop logic to protect both the robot and its environment.
Improve our Software-in-the-Loop (SIL) testing pipelines to make sure the simulated behavior matches the real system as close as possible.
Create and maintain documentation and follow best practices to disseminate knowledge within the team.
Bachelor’s degree or higher in Robotics, Control, Computer Engineering, Electrical Engineering, or a related technical field.
A minimum of three years of industry experience (or PhD equivalent) focusing on the software-hardware interface.
Experience with deploying and testing software on hardware platforms.
Proficiency in modern C++ for production-level, performance-critical systems.
Proficiency in Python for rapid algorithm development and data analysis.
Experience with ROS/ROS2 (Robot Operating System) as robotics middleware.
Strong understanding of Linux, including system configuration, kernel drivers and network stack.
Good understanding of control theory for robotic actuators.
Familiarity with interfacing with embedded components and understanding hardware datasheets.
PhD or Master’s degree specializing in Robotic Control, Real-Time Systems or Mechatronics.
Specific experience with the unique control challenges of legged or hybrid wheel-legged systems.
Experience with hardware interface frameworks in ROS2, e.g. ros2_control
Familiarity with functional safety standards for autonomous vehicles or industrial robots.