Perception Machine Learning Engineer – ADAS

Role and Responsibilities

• Develop and optimizeperceptionalgorithms for autonomous driving systems using camera and LiDAR data.

• Design and implementcutting-edgedeep learning algorithms for 2D/3D object detection, segmentation, tracking, and multi-task learning.

• Research and integrate BEV-based transformer models for perceptiontasks.

• Collaborate with cross-functional teams to ensure seamless integration and robust implementation.

• Test, release, and deployperceptionalgorithms into Lucid production programs.

• Support validation and verification ofperceptionalgorithms using prototype and pre-production vehicles.

• Propose innovative software algorithms to enhance future autonomous driving capabilities.

Required Qualifications

• Strong theoretical foundations andexpertisein deep learning algorithms, including object detection, tracking, and segmentation.

• Proficient in Python with a focus on clean, efficient, and scalable software development.

• Comfortable working with large codebases and debugging complex machine learning models.

• Experience withPyTorchor other ML frameworks (e.g., TensorFlow,MXNet).

• Ability to design and construct evaluation pipelines to unit-test ML models under diverse conditions and environments.

• Excellent communication skills anda strong teamplayer.

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering, ora related field.

• Minimum of 3 years of relevant work experience, or a Ph.D. in a related field for a senior position.

• Advanced degrees are preferred.

Preferred Qualifications

• Experience developing BEV transformer models forperception.

• Proficiencyin C++ with experience writing efficient, maintainable code.

• Practical, hands-on approach to solving complex problems in autonomous driving.

• Experience in testing andvalidatingperceptionsystems in real-world conditions.

• Experience working in agile development teams.

• Expertiseincomponentand system integration, testing, and verification at the system and vehicle levels.

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.