Controls Engineer

Highlights

• Develop trajectory and motion controllers translating AI Driver into smooth motion.
• Validate controllers across vehicle platforms via simulation and on-road testing.
• Bridge AI models to vehicle platforms for ADAS and autonomous driving features.

What they offer

• Salaries benchmarked against the market annually
• Meaningful equity sharing in long-term success
• Relocation support where applicable
• Learning and development budgets for training and conferences
• Comprehensive health, dental, parental leave and pension benefits

Ideal candidate

A robotics-minded engineer passionate about real-world autonomy who blends control theory depth with hands-on vehicle testing and thrives owning ambiguous problems from research to production.

Requirements

• Strong fundamentals in control theory with depth in optimization, MPC, numerical methods or dynamical systems
• Practical experience developing, tuning and validating control or motion systems on real physical systems
• Strong software engineering skills building production-quality systems in C++
• Experience with latency-sensitive or real-time software
• Ability to reason about and debug system-level behaviour across software and hardware
• Applied experience with model predictive control, trajectory optimization or motion planning
• Direct experience with mobile robotics or autonomous vehicle systems