Applied Intuition
Software Engineer - Active Safety(m/w/x)
Full-timeWith HomeofficeExperienced
Stuttgart
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WAWayve
Control Engineer(m/w/x)
Leonberg
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Integrating and validating AI software stack with MPC-based trajectory controllers for autonomous vehicles. Strong theoretical control theory and practical tuning experience required. Testing in challenging driving scenarios, C++ and Python skills.
Requirements
- Strong theoretical knowledge of control theory, optimisation, model-predictive control, state estimation, and numerical methods
- Practical experience developing and tuning control systems for physical systems (simulation and real world)
- Experience productionising and scaling systems (real-time controllers, performance monitoring)
- Strong C++ and Python skills
- Experience with control, dynamics, and modelling of road vehicles
- Passion for self-driving cars and making a positive impact
Tasks
- Integrate and validate AI software stack and MPC-based trajectory controller
- Enhance controller performance, stability, and reliability
- Develop control and integration methods for ML-coupled systems
- Test system behavior in challenging driving scenarios
- Refine simulation and evaluation pipelines
- Collaborate with cross-functional teams to resolve issues
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Python
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Wayve and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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WAWayve
Control Engineer(m/w/x)
Leonberg
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Integrating and validating AI software stack with MPC-based trajectory controllers for autonomous vehicles. Strong theoretical control theory and practical tuning experience required. Testing in challenging driving scenarios, C++ and Python skills.
Requirements
- Strong theoretical knowledge of control theory, optimisation, model-predictive control, state estimation, and numerical methods
- Practical experience developing and tuning control systems for physical systems (simulation and real world)
- Experience productionising and scaling systems (real-time controllers, performance monitoring)
- Strong C++ and Python skills
- Experience with control, dynamics, and modelling of road vehicles
- Passion for self-driving cars and making a positive impact
Tasks
- Integrate and validate AI software stack and MPC-based trajectory controller
- Enhance controller performance, stability, and reliability
- Develop control and integration methods for ML-coupled systems
- Test system behavior in challenging driving scenarios
- Refine simulation and evaluation pipelines
- Collaborate with cross-functional teams to resolve issues
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Python
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Wayve and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Wayve
Industry
Automotive
Description
Wayve is the leading developer of Embodied AI technology, creating AI software and foundation models for autonomous driving systems.
Not a perfect match?
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