Responsibilities

Design and implement controls modules for autonomous navigation of off-road vehicles.
Characterize customer vehicle dynamics to create tailored controls solutions and reduce the gap between simulation and real-world dynamics.
Evaluate and apply academic research to develop optimal-control solutions using nonlinear model predictive control (MPC) and MPPI control.
Collaborate with customer engineers and manage customer relationships.

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 differential equations, numerical optimization, numerical analysis, and physics.
Passion for solving challenging control problems involving varied vehicles and difficult off-road environments.
Ability to develop practical solutions to cutting-edge challenges in a fast-paced environment.

MSc or PhD in mechanical engineering or computer science, with coursework or research experience in controls.
Experience writing software compliant with safety-critical C++ guidelines such as MISRA and AUTOSAR.
Experience using quadratic programming solvers and nonlinear optimization tools such as OSQP, SCS, and CasADi to create robust, performant controllers.
Experience applying machine learning techniques to vehicle dynamics modeling.
Experience writing high-performance C++ code.
Experience working with large industrial vehicles in off-road environments.