Perception Machine Learning Engineer – ADAS 

Leading the Future in Luxury Electric Mobility 

At Lucid Motors, we aim to redefine the automotive experience by creating the most captivating, luxury electric vehicles that elevate human experience and push the boundaries of space, performance, and intelligence. Our vehicles are designed to be intuitive, liberating, and engineered for the future of mobility. 

We are committed to leading this new era of luxury electric mobility by returning to the fundamentals of great design — where every decision we make serves both the individual and the environment. Free from the constraints of convention, we empower you to define your own experience. 

Join a team of some of the most accomplished minds in the industry. In addition to competitive salaries, we offer a collaborative environment where innovators can make an immediate and meaningful impact. If you are passionate about building a better, more sustainable future, Lucid Motors is the place for you. 

Role and Responsibilities 

• Develop and optimize perception algorithms for autonomous driving systems using camera and LiDAR data. 

• Design and implement cutting-edge deep learning algorithms for 2D/3D object detection, segmentation, tracking, and multi-task learning. 

• Research and integrate BEV-based transformer models for perception tasks. 

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

• Test, release, and deploy perception algorithms into Lucid production programs. 

• Support validation and verification of perception algorithms using prototype and pre-production vehicles. 

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

Required Qualifications 

• Strong theoretical foundations and expertise in 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 with PyTorch or 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 and a strong team player. 

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or a 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 for perception. 

• Proficiency in C++ with experience writing efficient, maintainable code. 

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

• Experience in testing and validating perception systems in real-world conditions. 

• Experience working in agile development teams. 

• Expertise in component and system integration, testing, and verification at the system and vehicle levels.