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Software Engineer Low Speed Motion Planning & Control Planning(m/w/x)
Motion planning and control for AI-driven autonomous vehicles, enabling navigation in tight scenarios. MSc or PhD in relevant engineering and high-performance C++ skills required. Occasional remote work, flexible schedule.
Requirements
- 3+ years of production software experience
- Experience testing vehicle controls solutions
- Fluency in control theory and physics
- High-performance C++ coding skills
- MSc or PhD in relevant engineering
- Experience with MISRA and AUTOSAR guidelines
- Experience with nonlinear optimization tools
- Machine learning for vehicle dynamics modeling
- Experience with industrial and passenger vehicles
- Excitement about the role
Tasks
- Design and implement motion planning and control modules
- Enable highly accurate autonomous navigation in tight scenarios
- Characterize vehicle dynamics for tailored control solutions
- Reduce the gap between simulation and real-world dynamics
- Evaluate and utilize academic research for optimal-control solutions
- Apply nonlinear MPC and MPPI control techniques
- Take ownership over technical and product decisions
- Interact with users and customers to collect feedback
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- C++
- MISRA
- AUTOSAR
- quadratic programming solvers
- nonlinear optimization tools
Benefits
Flexible Working
- Occasional remote work
- Flexible schedule
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Software Engineer Low Speed Motion Planning & Control Planning(m/w/x)
Motion planning and control for AI-driven autonomous vehicles, enabling navigation in tight scenarios. MSc or PhD in relevant engineering and high-performance C++ skills required. Occasional remote work, flexible schedule.
Requirements
- 3+ years of production software experience
- Experience testing vehicle controls solutions
- Fluency in control theory and physics
- High-performance C++ coding skills
- MSc or PhD in relevant engineering
- Experience with MISRA and AUTOSAR guidelines
- Experience with nonlinear optimization tools
- Machine learning for vehicle dynamics modeling
- Experience with industrial and passenger vehicles
- Excitement about the role
Tasks
- Design and implement motion planning and control modules
- Enable highly accurate autonomous navigation in tight scenarios
- Characterize vehicle dynamics for tailored control solutions
- Reduce the gap between simulation and real-world dynamics
- Evaluate and utilize academic research for optimal-control solutions
- Apply nonlinear MPC and MPPI control techniques
- Take ownership over technical and product decisions
- Interact with users and customers to collect feedback
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- C++
- MISRA
- AUTOSAR
- quadratic programming solvers
- nonlinear optimization tools
Benefits
Flexible Working
- Occasional remote work
- Flexible schedule
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Applied Intuition
Industry
IT
Description
The company accelerates the global adoption of safe, AI-driven machines and delivers solutions for intelligent vehicles.
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Master Thesis Reinforcement Learning for Behavior Planning in Automated Driving(m/w/x)
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