Senior Robotics Controls Engineer

Success Criteria

• Support design reviews, requirement setting and definition of specifications of robotic systems and subsystems.
• Support on the definition of hardware testing from external suppliers.
• Write, document, deploy, and maintain software for robot motion control.
• Understand the current control software stack and propose incremental improvements.
• Develop intuitive APIs that balance the needs of different stakeholders.
• Bring hands-on experience of software and hardware debugging of complex robotics systems.
• Gain experience designing control systems that support different input sources (e.g., teleoperation, learned policies, motion planners).
• Effectively evaluate the impact of different solution methods on system performance, particularly with respect to timing and resource constraints.


Your Experience
Qualifications
• MS or Ph.D. in robotics or a related field (Computer Science, Electrical Engineering, Mechanical Engineering, etc.) or equivalent industry experience.
• Demonstrated experience writing software for robot control on hardware.


Skills
• Experience defining requirements and specifications for robotic systems and subsystems.
• Controls experience working with rigid multibody robotic systems.
• Software development skills; able to write efficient, scalable, and maintainable code in C++ and Python for robot control.
• Experience with at least one kinematics and dynamics library for robotics (e.g., Pinocchio, Drake, Mujoco, etc.).
• Strong understanding of ROS2.
• Experience working on complex software stacks as part of a team.
• Familiarity with documentation and project management tools such as Confluence and Jira.
• Knowledge of ros2_control.
• Experience in trajectory optimization, planning and optimal control.
• Experience using real time solvers for a range of convex and non-convex problems (specific interest in QPs, SQPs, MIPs, and SDPs) is an asset.
• Experience with off-the-shelf robotic hardware is an asset
• Experience in reinforcement learning for control is an asset.


Traits
• Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to mission objectives.
• Successful candidates will be a proponent of personal responsibility for themselves and their teammates.
• Empathetic listener with conflict resolution capabilities.
• Consistent bias for action, communication, and interpersonal savvy.
• Self-motivated and able to solve problems independently.
• Great communicator - able to clearly articulate and balance needs of stakeholders.
• Mission driven and passionate about bringing human-like intelligence to machines.