Lucid Motors
Perception Machine Learning Algorithm Engineer
Lucid Motors, Newark, California, United States, 94560
Perception Machine Learning Algorithm Engineer
Newark, CA Overview
Lucid Motors is seeking an experienced Perception Machine Learning Algorithm Engineer to join the ADAS/Autonomous Driving team. This position requires a highly skilled professional with a strong background in machine learning, computer vision, and perception algorithms, as well as solid programming expertise. As a member of Lucid’s Perception team, you will research, design, implement, optimize, and deploy state-of-the-art machine learning models that advance perception algorithms for autonomous driving. You will conduct literature reviews, develop and modify models to enhance performance, and contribute to the deployment of these models in production vehicles. Role and Responsibilities
Develop and optimize perception algorithms for Level 2/2+/3 autonomous driving systems using camera, LiDAR and radar data. Design and implement cutting-edge deep learning algorithms for 2D/3D object detection, segmentation, tracking, and multi-task learning. Design, train, and evaluate machine learning or deep learning models for detecting vehicles, pedestrians, and other road users from sparse radar data. Fuse radar detections with data from camera, lidar, and/or inertial sensors. Research and integrate BEV-based transformer models for perception tasks. Collaborate with cross-functional teams to ensure seamless integration and robust implementation. Deploy, test and release perception algorithms into Lucid production programs. Support the 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 dynamic and static object detection, tracking, and segmentation. Strong experience with 3D point cloud processing, preferably with radar data. Familiarity with common radar data formats (e.g., raw detections, clustered point clouds, heatmaps). 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 and deployment toolchains, ONNX, TensorRT. 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. Experience with automotive radar (e.g., Continental, Bosch, Aptiv). Background in multi-sensor fusion (radar-camera, radar-IMU). Proficiency in C++ with experience writing efficient, maintainable code. Hands-on approach to solving complex problems in autonomous driving. Experience 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. Salary and Benefits
Salary Range:
The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Additional Compensation and Benefits:
Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) Equal Opportunity Notice
Lucid Motors does not discriminate on the basis of protected status under applicable law. We may request voluntary demographic information for equal opportunity monitoring; such information is confidential and will not be used in hiring decisions. Important Notice
Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.
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Newark, CA Overview
Lucid Motors is seeking an experienced Perception Machine Learning Algorithm Engineer to join the ADAS/Autonomous Driving team. This position requires a highly skilled professional with a strong background in machine learning, computer vision, and perception algorithms, as well as solid programming expertise. As a member of Lucid’s Perception team, you will research, design, implement, optimize, and deploy state-of-the-art machine learning models that advance perception algorithms for autonomous driving. You will conduct literature reviews, develop and modify models to enhance performance, and contribute to the deployment of these models in production vehicles. Role and Responsibilities
Develop and optimize perception algorithms for Level 2/2+/3 autonomous driving systems using camera, LiDAR and radar data. Design and implement cutting-edge deep learning algorithms for 2D/3D object detection, segmentation, tracking, and multi-task learning. Design, train, and evaluate machine learning or deep learning models for detecting vehicles, pedestrians, and other road users from sparse radar data. Fuse radar detections with data from camera, lidar, and/or inertial sensors. Research and integrate BEV-based transformer models for perception tasks. Collaborate with cross-functional teams to ensure seamless integration and robust implementation. Deploy, test and release perception algorithms into Lucid production programs. Support the 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 dynamic and static object detection, tracking, and segmentation. Strong experience with 3D point cloud processing, preferably with radar data. Familiarity with common radar data formats (e.g., raw detections, clustered point clouds, heatmaps). 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 and deployment toolchains, ONNX, TensorRT. 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. Experience with automotive radar (e.g., Continental, Bosch, Aptiv). Background in multi-sensor fusion (radar-camera, radar-IMU). Proficiency in C++ with experience writing efficient, maintainable code. Hands-on approach to solving complex problems in autonomous driving. Experience 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. Salary and Benefits
Salary Range:
The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Additional Compensation and Benefits:
Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) Equal Opportunity Notice
Lucid Motors does not discriminate on the basis of protected status under applicable law. We may request voluntary demographic information for equal opportunity monitoring; such information is confidential and will not be used in hiring decisions. Important Notice
Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.
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