Role and Responsibilities
· Research, design, implement, optimize and deploy localization and computer vision algorithms for driving and parking features
· Implement high-quality automotive grade software code compliant to automotive quality and safety standards
· Integrate software stack with the overall perception software stack for running onboard perception system with excellent performance and high fault tolerance
· Test, release, and launch the perception algorithm into the production programs
· Contribute to the ADAS software roadmap, strategic planning, and development timeline
· Contribute to the systems requirements and identify performance metrics for individual components
· Conduct on-road ADAS software testing and create test plans to support algorithm development
Required Qualifications
· Bachelors in Computer Engineering, Electrical Engineering, Robotics, Mechanical Engineering
· Extensive knowledge and applied experience in localization, camera calibration, 3D computer vision, multi-view geometry, SfM/SLAM
· Strong foundation in linear algebra, numerical optimization, factor graph representations and statistical estimation theory.
· A solid foundation in math and robotics to propose creative solutions for autonomous systems
· Proficient in C++ and In-depth knowledge in object-oriented programming, algorithms, data structures, and software design skills
· Excellent communication skills and good team player
Preferred Qualifications
· Masters in Computer Engineering, Electrical Engineering, Robotics, Mechanical Engineering
· 3 years related experience Or Ph.D. with no experience.
· Experience using optimization libraries such as GTSAM, Ceres, g20, etc.
· Experience with real-time operating systems (e.g., QNX, Ubuntu, etc.)
· Experience working with different sensor modalities such as GPS/IMU, ultrasonic, wheel odometry, camera, etc.
· Experience in working in agile development teams
At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.
