Luxoft is one of the major software services companies world-wide. We deliver professional software services in multiple business verticals such as finance, automotive, and digital transformation. Supporting large vehicle manufacturers in the area of development, production and aftersales is Luxoft's ambition.
Self-driving car race is still on. For achieving SAE level 3-5 of autonomy, billions of miles must be driven autonomously, in real world and in simulation, to prove robustness and better-than-human performance of autonomous cars. Luxoft's goal is to empower our customers, with deep domain knowledge and smart solutions, to develop cars of the future.
In the project, along other professionals, you will be working on a complex pipeline supporting parking functions development, involving, among others, usage of 3D world simulation for functions validation.
Investigating behavior and performance of ADAS functions
Data and problem analysis in ADAS
Providing support to other teams in areas of motion planning / control / perception and localization of automated / autonomous vehicle
Master or Phd in areas of: robotics, control theory, information technology, Mechatronics, etc.
Scripting language: Python and/or Matlab
Proven experience in at least one of areas:
- Motion planning for Automated / Autonomous Vehicles
- Path planning
- Trajectory planning
- Behavior planning
- Vehicle Control
- Object detection (camera/radar/lidar) and tracking
- Sensor data fusion
Nice to have
Agile, Scrum, SAFe
English: B2 Upper Intermediate
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Line of Business