Software Engineer - Low Speed Motion Planning & Control

Responsibilities

• Design and implement motion planning and controls modules for various vehicle platforms
• Characterize vehicle dynamics to create tailored controls solutions and reduce simulation-to-real-world gaps
• 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
• Experience writing high-performance C++ code
• Passion for tackling challenging motion planning or motion control problems

Preferred Qualifications

• MSc or PhD in mechanical engineering or computer science with research in motion planning or controls
• Experience writing software compliant with safety-critical C++ guidelines (MISRA, AUTOSAR)
• Experience using quadratic programming solvers or nonlinear optimization tools
• Experience applying machine learning 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, creating the digital infrastructure needed to bring intelligence to every moving machine on the planet, servicing automotive, defense, trucking, construction, mining, and agriculture industries.