Developing software and algorithms for autonomous parking systems in luxury electric vehicles
Requirements
- Proficiency in C++
- Experience implementing reliable production systems involving large-scale systems, evaluation pipelines, ML models and performance metrics
- Experience in AV planning and behavior prediction
- Experience developing real-time systems
- Hands-on experience testing complex AV systems on real-world platforms
- Comfortable with fundamentals of physics, probability, and statistics
- Experience with machine learning algorithms
Responsibilities
- Develop and maintain software and algorithms enabling vehicles to complete parking maneuvers safely, accurately, and reliably
- Design reusable, optimized behavior and motion planning software architectures for Level 2/3/4 autonomous parking systems
- Construct and implement advanced machine learning algorithms for data-driven parking behavior
- Lead software development by leveraging stack architecture expertise to design and implement algorithms in real-world systems
- Develop high performance behavior and motion planning algorithms with low latency
- Design, prototype, test, and release cutting-edge planning software stacks for Lucid production programs
- Implement high-quality automotive grade software code compliant to automotive quality and safety standards
Other
- Bachelor's degree Computer Science, Robotics, ML or equivalent experience
- Excellent communication skills and willingness to learn
- Maintain alignment through effective communication
- Support the production verification and validation of the motion planning algorithms using prototype vehicles and pre-production vehicles
- Work closely with other teams to ensure a seamless and robust implementation and deployment of motion planning products for autonomous parking systems
