Tesco Magyarország
Hungary
New
Senior Platform Engineer / SRE
- AI
- Cloud
- Cloud Native
- Incident Response
C
Motion Planning & Control Engineer (Autonomous Racing)
Relocation
AI Summary
Key Highlights
Develop nonlinear Model Predictive Control (MPC) algorithms for autonomous racing cars.
Work on vehicle dynamics modeling, simulation, and real-world testing.
Collaborate on automotive R&D projects for ADAS and obstacle avoidance systems.
Key Responsibilities
Develop and optimize motion control algorithms using nonlinear MPC and ROS 2 for autonomous racing cars.
Design and validate vehicle dynamics models, including system identification, for accurate motion control and simulation.
Participate in track testing and international racing events, troubleshooting and analyzing performance data.
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Technical Skills Required
Benefits & Perks
Hybrid working arrangement
Relocation package for candidates outside Luxembourg
Language classes
Newborn bonus
25 vacation days
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Nice to Have
Experience with Formula Student Driverless, A2RL, or similar autonomous racing competitions.
Research experience in nonlinear MPC, trajectory optimization, or sampling-based motion planning.
Familiarity with vehicle dynamics modeling, tyre modeling, and system identification.
Job Description
About The Role
We're looking for a Motion Planning & Control Engineer to join our autonomous racing team and help develop the algorithms that enable a full-size race car to navigate the track autonomously at high speeds.
In this role, you'll work at the intersection of control theory, robotics, and vehicle dynamics, developing and optimizing motion planning and control algorithms for real-world racing conditions. You'll be involved throughout the development cycle, from mathematical modelling and simulation to implementation, testing, and validation on the actual race car.
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