Software Engineer Low Speed Motion Planning & Control Planning

Responsibilities

• Design and implement motion planning and controls modules for deployment on various vehicle platforms.
• Enable highly accurate autonomous navigation in tight scenarios.
• Characterize customer vehicle dynamics to create tailored control solutions and reduce the gap between simulation and real-world performance.
• Evaluate and utilize academic research to create optimal-control-based solutions using techniques like nonlinear MPC and MPPI control.

Requirements

• 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.
• High-performance C++ coding skills.
• Passion for tackling challenging motion planning or motion control problems in a fast-paced environment.

Preferred Qualifications

• MSc or PhD in mechanical engineering or computer science with research experience in motion planning or controls.
• Experience writing software compliant with safety-critical C++ guidelines (e.g., MISRA, AUTOSAR).
• Experience using quadratic programming solvers or nonlinear optimization tools.
• Experience applying machine learning techniques to vehicle dynamics modeling.
• Experience working with both large industrial/commercial vehicles and passenger cars.

About the Company

Applied Intuition is powering the future of physical AI. Founded in 2017, the company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. We service the automotive, defense, trucking, construction, mining, and agriculture industries through tools, operating systems, and autonomy solutions. Eighteen of the top 20 global automakers trust our solutions to deliver physical intelligence.