algojobs
Sr. Machine Learning Engineer, Autonomous Driving & Parking
algojobs, Southfield, Michigan, United States, 48076
Sr. Machine Learning Engineer, Autonomous Driving & Parking
Southfield, MI Leading the future in luxury electric and mobility 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. Role:
Design, develop, and evaluate cutting-edge machine learning architectures for autonomous driving, focusing on actor prediction, behavior modeling, and motion planning.
Lead software development initiatives by applying deep learning architecture expertise to deploy robust planning systems in real-world environments
Lead the design for reusable, high-performance, low-latency and high-reliability behavior and motion planning software architectures for Level 2/3/4 autonomous driving and parking systems
Conduct research into state-of-the-art ML planning and prediction techniques and bring these innovations into production systems
Stay current with academic and industry advancements in planning and prediction, integrating promising methodologies into Lucid’s ADAS stack
Write high-quality, automotive-grade software compliant with industry standards for safety and quality
Collaborate cross-functionally to ensure seamless implementation and deployment of autonomous driving and parking features
Required Qualifications:
Master’s or Ph.D. in Computer Science, Robotics, Machine Learning, or a related field
Expert-level proficiency in Python and ML libraries such as PyTorch or TensorFlow
Solid understanding of state-of-the-art ML techniques and DL architectures (e.g. transformers), and their application to ADAS perception and planning stacks
Proven experience building reliable production systems with large-scale architecture, evaluation pipelines, scalable and efficient deep learning models, and performance metrics
Proficiency in C++ and strong hands-on experience with software engineering design principles
Background in at least one of the following is a must: perception, prediction or planning in ADAS, environment modeling, autonomous vehicles or robotic applications
Preferred Qualifications:
3+ years of experience in ML development, particularly in large-scale data and real-time systems
Experience working with foundational models, large language models (LLMs), or end-to-end AV planning systems
Experience porting ML models to embedded platforms, with strong C++ fundamentals
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 be eligible to 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.) To all recruitment agencies : 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. Apply for this job
indicates a required field First Name * Last Name * Preferred First Name Email * Phone Country Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf
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Southfield, MI Leading the future in luxury electric and mobility 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. Role:
Design, develop, and evaluate cutting-edge machine learning architectures for autonomous driving, focusing on actor prediction, behavior modeling, and motion planning.
Lead software development initiatives by applying deep learning architecture expertise to deploy robust planning systems in real-world environments
Lead the design for reusable, high-performance, low-latency and high-reliability behavior and motion planning software architectures for Level 2/3/4 autonomous driving and parking systems
Conduct research into state-of-the-art ML planning and prediction techniques and bring these innovations into production systems
Stay current with academic and industry advancements in planning and prediction, integrating promising methodologies into Lucid’s ADAS stack
Write high-quality, automotive-grade software compliant with industry standards for safety and quality
Collaborate cross-functionally to ensure seamless implementation and deployment of autonomous driving and parking features
Required Qualifications:
Master’s or Ph.D. in Computer Science, Robotics, Machine Learning, or a related field
Expert-level proficiency in Python and ML libraries such as PyTorch or TensorFlow
Solid understanding of state-of-the-art ML techniques and DL architectures (e.g. transformers), and their application to ADAS perception and planning stacks
Proven experience building reliable production systems with large-scale architecture, evaluation pipelines, scalable and efficient deep learning models, and performance metrics
Proficiency in C++ and strong hands-on experience with software engineering design principles
Background in at least one of the following is a must: perception, prediction or planning in ADAS, environment modeling, autonomous vehicles or robotic applications
Preferred Qualifications:
3+ years of experience in ML development, particularly in large-scale data and real-time systems
Experience working with foundational models, large language models (LLMs), or end-to-end AV planning systems
Experience porting ML models to embedded platforms, with strong C++ fundamentals
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 be eligible to 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.) To all recruitment agencies : 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. Apply for this job
indicates a required field First Name * Last Name * Preferred First Name Email * Phone Country Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf
#J-18808-Ljbffr