About the position
At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility. We plan to lead in this new era of luxury electric by returning to the fundamentals of great design - where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience. Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we're providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.
Responsibilities
- Transform complex real-world corner case problems into scalable, parallelized solutions
- Implement and maintain real-time trajectory planning in dynamic environments
- Construct and prototype advanced machine learning algorithms for data-driven parking behavior
- Design, implement, test, and release different level of safety features for Lucid production programs
- Evaluate and improve the performance of parking motion planner software stack using simulation and in-vehicle testing
- Optimize parking planner software stack by profiling and identifying bottleneck
- Work closely with other teams to ensure a seamless and robust implementation and deployment of motion planning products for autonomous parking systems
- Support the production verification and validation of the motion planning algorithms using prototype vehicles and pre-production vehicles
Requirements
- Bachelor's degree in Computer Science, Robotics, ML or equivalent experience
- Experiences implementing production level trajectory planning software modules
- Proficiency in C++ and hands-on SWE design skills
- Comfortable with fundamentals of physics, kinematics, and dynamics
- Excellent communication skills and willingness to learn
Nice-to-haves
- Masters or higher degree preferably in Computer Science, Robotics, or related field
- Experience in AV motion planning and vehicle controls
- Experience developing real-time systems
- Hands-on experience testing complex AV systems on real-world platforms
- Familiarity with Python, PyTorch, TensorRT, ROS2, QNX, git, CI/CD
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- Vacation
- 401k
- Equity program
- Discretionary annual incentive program
