Software Engineer Low Speed Motion Planning & Control Planning

Applied Intuition is a Silicon Valley company powering the future of physical AI, valued at $15 billion. The role involves designing motion planning and controls modules for autonomous vehicles, working on both infrastructure and vehicle-side software in a fast-paced, customer-focused team.

• Design and implement motion planning and controls modules that can be deployed on various vehicle platforms, enabling them for highly accurate autonomous navigation in tight scenarios.
• Characterize the dynamics of our customers’ vehicles to create tailored controls solutions and to reduce the gap between simulation and real-world dynamics.
• Evaluate and utilize academic research to create optimal-control-based solutions using techniques like nonlinear MPC and MPPI control.

• Passion about tackling challenging motion planning or motion control problems.
• 3+ years of experience building production software using modern software practices.
• Hands-on experience testing controls solutions on real, production-grade vehicles.
• Fluency in control theory, numerical optimization, numerical analysis, and physics.
• Enthusiasm for coming up with practical solutions to cutting-edge challenges in a fast-paced environment.
• Experience writing high-performance C++ code.
• Nice to have: MSc or PhD in mechanical engineering or computer science with coursework or research experience in motion planning or controls.
• Nice to have: Experience writing software that is compliant with guidelines for safety-critical C++ code, such as MISRA and AUTOSAR.
• Nice to have: Experience using quadratic programming solvers or nonlinear optimization tools.
• Nice to have: Experience applying machine learning techniques to vehicle dynamics modeling.
• Nice to have: Experience working both with large industrial /commercial vehicles, as well as passenger cars.