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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
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
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
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 - Multi-modal traversability estimation for Autonomous Outdoor Navigation(m/w/x)
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