Software Engineer Low Speed Motion Planning and Control Planning
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Summary
Designs and implements motion planning and control modules for autonomous vehicle platforms at Applied Intuition in Stuttgart, characterizing customer vehicle dynamics and closing the sim-to-real gap. Core work involves high-performance C++ and optimal-control methods like nonlinear MPC and MPPI.
You will design and implement motion-planning and control modules for autonomous vehicle platforms. You will characterize vehicle dynamics, develop tailored control solutions, and apply research such as nonlinear MPC and MPPI to solve navigation problems.
Responsibilities
- Design and implement motion planning and control modules for autonomous vehicle platforms
- Characterize customer vehicle dynamics and develop tailored control solutions
- Reduce the gap between simulation and real-world dynamics
- Evaluate and apply academic research to develop optimal-control-based solutions using nonlinear MPC and MPPI
Requirements
- 3+ years of experience building production software using modern software practices
- Hands-on experience testing control solutions on real production-grade vehicles
- Knowledge of control theory numerical optimization numerical analysis and physics
- Experience writing high-performance C++ code
- Experience solving motion planning or motion control problems
Benefits
- 30 days of paid vacation per year
- €19 lunch budget and €19 dinner budget
- Free breakfast snacks and drinks in the office
- €965 annual learning and development budget
- €580 annual fitness budget
- Subsidized Wellpass membership
- €25 monthly Deutschlandticket contribution
- Additional parental leave beyond statutory parental leave