Platform Control Lead

About the role

We are seeking an experienced and hands-on Platform Control Lead to lead a team of software/control engineers. The ideal candidate will have a strong background in control theory, AI, as well as a passion for developing advanced control systems for autonomous vehicles. You will be responsible for owning the platform control software that translates motion planner trajectories to drive-by-wire commands.

Team Leadership

• Lead, mentor, and manage a team of controls engineers.
• Foster a collaborative and outcome-focused team environment.
• Oversee project planning, execution, and delivery within tight timelines.

Control Systems Development

• Architect and develop control software modules for vehicle actuation systems.
• Implement control algorithms for throttle, brake, and steering to accurately follow planned trajectories.
• Interface and integrate with body control systems, including headlights and fifth-wheel lifts.

Product Mindset

• Collaborate closely with cross-functional teams to align engineering efforts with customer value.
• Contribute to product strategy with a focus on maximizing customer satisfaction and usability.

Hands-On Contribution

• Engage directly in coding, testing, and debugging.
• Lead by example by staying actively involved in technical challenges.

Innovation and AI Integration

• Explore and implement AI and machine learning techniques for control model training.
• Stay updated with the latest industry trends and technologies.

Qualifications

• Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Computer Science, Robotics, Control Systems, or a related field.
• Minimum of 5 years of experience in control systems engineering.
• Proven leadership experience managing teams of 3+ engineers.
• Strong background in control theory and control systems design.
• Proficiency in programming languages such as C++, Python, and MATLAB/Simulink.
• Experience with vehicle dynamics and actuation systems.
• Ability to work collaboratively in a cross-functional team environment.

Preferred Qualifications

• Experience in a fast-paced startup environment is highly preferred.
• Experience with real-world controls experience in automotive, aerospace, or related field is preferred.
• Familiarity with AI and machine learning techniques for control systems is a plus.
• Exceptional communication and interpersonal skills.