Engineer à Canada

Sanctuary AI

Job Overview

Sanctuary, a world leader in building AI-based control systems for humanoid robots, is looking to hire a skilled and motivated Robotics Controls Engineer. The Robotics Controls Engineer is a crucial part of our team, supporting development and improvement of our control software stack. You'll contribute to the codebase that links our motion control stack to the real-time and embedded systems.

The best candidates for this role have excellent background in control theory for robotics, programming skills, hands-on experience implementing control algorithms on hardware, as well as writing interfaces for robotics systems.

• 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

• Controls experience working with rigid multi-body 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 is an asset
• Knowledge of ros2_control is an asset
• Experience in trajectory optimization, planning and optimal control is an asset
• 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
• 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.
• Mission driven and passionate about bringing human-like intelligence to machines.

Working at Sanctuary AI

Sanctuary AI is an equal opportunity employer; employment with Sanctuary AI is governed based on skills, competence, and qualifications and will not be influenced in any way by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. In 2023, Sanctuary AI moved into a state-of-the-art office facility and has been recognized by LinkedIn as a Top Startup company.

Compensation and Benefits

Sanctuary offers a market-leading compensation package that includes competitive salaries, equity stakes, and a full suite of benefits for permanent employees, encompassing health coverage, paid time off, cutting-edge work facilities, and worksite flexibility by role. Our commitment to fairness ensures that our total compensation consistently surpasses market standards.

About Sanctuary AI

Founded in 2018, Sanctuary builds humanoid robots and a novel control system for them that integrates symbolic logic and reasoning with data-driven robot foundation models. We use our robots to collect vision, audio, touch, and proprioception data from the perspective of the robot while they perform real-world work tasks. We use that data to train multimodal robot foundation models. Because our systems are vertically integrated, we can design, deploy, and refine at scale. Our mission is to create the world's first human-like intelligence in general-purpose robots.