4,779 Autonomous Driving jobs in the United States

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.

We are seeking a Sr. Machine Learning Engineer, Autonomous Driving & Parking to join our team. This role is based in Newark, CA and requires employees to be onsite five days a week.

• 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

• 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

• 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

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.

Base Pay Range (Annual): $156,800 - $215,600 USD

Sr. Machine Learning Engineer, Auto Park Motion Planning Newark, CA 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. We are seeking a Sr. Machine Learning Engineer – Auto Park Motion Planning to join our team. This role is based in Newark, CA and requires employees to be onsite five days a week. Role: Develop and maintain software and algorithms that enable vehicles to complete parking maneuvers safely, accurately, and reliably Design reusable, high-performance behavior and motion planning software architectures for Level 2/3/4 autonomous parking systems Construct and implement advanced machine learning algorithms for data-driven parking behavior Lead software development initiatives by applying deep architecture expertise to deploy robust planning systems in real-world environments Develop low-latency, high-reliability behavior and motion planning algorithms Prototype, test, and release cutting-edge planning software stacks for Lucid production programs 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 parking features Maintain technical alignment through effective communication across multiple teams Support verification and validation of planning algorithms using prototype and pre-production vehicles Required Qualifications: Master’s or Ph.D. in Computer Science, Robotics, Machine Learning, or a related field Proven experience building reliable production systems with large-scale architecture, evaluation pipelines, ML models, and performance metrics Expert-level proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow Strong C++ skills with hands-on experience in software engineering and algorithm design Solid understanding of state-of-the-art models in perception, prediction, or planning for autonomous systems Strong grasp of physics, probability, and statistics Excellent communication skills and a collaborative mindset Preferred Qualifications: Experience in autonomous vehicle planning and behavior prediction Experience developing and deploying real-time systems Hands-on experience testing AV systems on real-world platforms 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 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 * Email * Phone Location (City) Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select. Degree Select. Select. Start date year End date month Select. End date year LinkedIn Profile Are you currently authorized to work in the United States of America? * Select. Do you now or in the future require visa sponsorship? * Select. Have you previously worked for Lucid, or any of its entities, as a contractor? * Select. We may reach out to you via text message (SMS) during the interview process. Do you approve of us contacting you via text message? * Select. U.S. Standard Demographic Questions We invite applicants to share their demographic background. If you choose to complete this survey, your responses may be used to identify areas of improvement in our hiring process. How would you describe your gender identity? (mark all that apply) Select. How would you describe your racial/ethnic background? (mark all that apply) Select. How would you describe your sexual orientation? (mark all that apply) Select. Do you identify as transgender? (select one) Select. Do you have a disability or chronic condition (physical, visual, auditory, cognitive, mental, emotional, or other) that substantially limits one or more of your major life activities, including mobility, communication (seeing, hearing, speaking), and learning? (select one) Select. Are you a veteran or active member of the United States Armed Forces? (select one) Select. Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Lucid Motors’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Select. Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 04/30/2026 Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 04/30/2026 Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at . How do you know if you have a disability? A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS Blind or low vision Cancer (past or present) Cardiovascular or heart disease Celiac disease Cerebral palsy Deaf or serious difficulty hearing Diabetes Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders Epilepsy or other seizure disorder Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome Intellectual or developmental disability Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD Missing limbs or partially missing limbs Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS) Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities Partial or complete paralysis (any cause) Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema Short stature (dwarfism) Traumatic brain injury Disability Status Select. PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete. #J-18808-Ljbffr

Sr. Perception Machine Learning Engineer - Autonomous Driving Newark, CA 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. Leading the Future in Luxury Electric and 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. We are looking for an experienced Sr. Perception Machine Learning Algorithm Engineer to join our 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. 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. 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 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. 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 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 * Email * Phone * Location (City) Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select. Degree Select. Select. Start date year End date month Select. End date year LinkedIn Profile Are you currently authorized to work in the United States of America? * Select. Do you now or in the future require visa sponsorship? * Select. Are you a current contractor for Lucid, or any of its entities? * Select. Have you previously worked for Lucid, or any of its entities, as a contractor? * Select. Are you able to perform the essential functions of this role with or without accommodations? * Select. We may reach out to you via text message (SMS) during the interview process. Do you approve of us contacting you via text message? * Select. How did you learn about this opportunity? * Select. What is your highest level of education completed? * Select. Website U.S. Standard Demographic Questions We invite applicants to share their demographic background. If you choose to complete this survey, your responses may be used to identify areas of improvement in our hiring process. How would you describe your gender identity? (mark all that apply) Select. How would you describe your racial/ethnic background? (mark all that apply) Select. How would you describe your sexual orientation? (mark all that apply) Select. Do you identify as transgender? (select one) Select. Do you have a disability or chronic condition (physical, visual, auditory, cognitive, mental, emotional, or other) that substantially limits one or more of your major life activities, including mobility, communication (seeing, hearing, speaking), and learning? (select one) Select. Are you a veteran or active member of the United States Armed Forces? (select one) Select. Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Lucid Motors’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Select. Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 04/30/2026 Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 04/30/2026 Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at . How do you know if you have a disability? A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS Blind or low vision Cancer (past or present) Cardiovascular or heart disease Celiac disease Cerebral palsy Deaf or serious difficulty hearing Diabetes Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders Epilepsy or other seizure disorder Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome Intellectual or developmental disability Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD Missing limbs or partially missing limbs Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS) Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities Partial or complete paralysis (any cause) Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema Short stature (dwarfism) Traumatic brain injury Disability Status Select. PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete. #J-18808-Ljbffr

Leading the Future in Luxury Electric and 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. We are looking for an experienced Sr. Perception Machine Learning Algorithm Engineer to join our 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. 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. 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. Strong deployment background, C++, CUDA experience is important. 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. #J-18808-Ljbffr

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: We are seeking Machine Learning Engineers to develop behavioral foundation models and drive the future of autonomy across all current and future vehicle generations. You will be part of a lean, boundary-less team with access to extensive, diverse real-world datasets from various geographies and sensor setups. Roles/Responsibilities Design and refine behavioral models using advanced deep learning techniques to ensure safe and efficient autonomous driving and to navigate complex driving scenarios effectively. Train and integrate deep learning models with real-world data and simulation frameworks to enhance model accuracy and reliability. Collaborate with researchers and engineers to push the boundaries of AI, driving innovation in autonomous vehicle technology. Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc. Has a great degree of influence over key organizational decisions. Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively. Provides leadership and supervision/guidance to other team members. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Preferred Qualifications: Strong proficiency in Python, with hands-on experience using machine learning frameworks such as PyTorch. Solid understanding of deep learning, including the underlying principles and mechanisms of modern deep learning algorithms. Proven ability to design, adapt, and implement advanced machine learning algorithms. Strong analytical and scientific problem-solving skills. Ph.D. in a relevant field with at least 1 year of industry experience in autonomous driving or robotics. Expertise in deep learning and generative models, including transformers and diffusion-based architectures. Practical experience in reinforcement learning, including offline RL, reward modeling, and related techniques. Experience working with both simulated environments and real-world datasets for model validation and benchmarking. A strong publication record in top-tier conferences such as NeurIPS, CVPR, ICRA, ICLR, or CoRL. Familiarity with autonomous systems, sensor data processing, and real-time decision-making algorithms. Experience with large-scale ML systems, distributed training, and deploying models in production environments. Excellent communication skills and a collaborative mindset for working in cross-functional teams. Level of Responsibility: • Works under supervision. • Decision-making may affect work beyond immediate work group. • Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. • Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions). • Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits : $111,300.00 - $166,900.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link . If you would like more information about this role, please contact Qualcomm Careers . #J-18808-Ljbffr

Job Description - Director, Autonomous Driving Safety (SDS0007)

Director, Autonomous Driving Safety - SDS0007 - Hybrid

Innovation.Sophistication.Optimization.Thisisour Passion.

Worldwide, the Volkswagen Group has a long tradition of dramatic innovations. The Volkswagen Group with its headquartersinWolfsburgisoneoftheworldsleadingautomobilemanufacturersandthe largestcarmakerinEurope. The Group comprises twelve brands from seven European countries: Volkswagen Passenger Cars, Audi, SEAT, KODA, Bentley, Bugatti, Lamborghini, Porsche, Ducati, Volkswagen Commercial Vehicles, Scania and MAN. Here in the US, we are blending German engineering with American ingenuity.

As ADMT , we develop and realize fully autonomous mobility and transportation services. Our mission is to make mobility-and transportation-as-a-service safe, accessible, and most attractive for society. For that, we cover the entire groundfromstrategyandbusinessdevelopment,softwaredevelopmentandend-2-endintegration,fleetoperationsto next-generation self-driving systems. Being the driver in Volkswagen Group initiative for mobility solutions, we are an integral part of Volkswagen Group's future success.

The Director, Autonomous Driving Safety oversees and ensures that ADMT LLCs autonomous driving vehicles and services are specified, designed, tested, and operated safely. The primary mission for this role is to build and maintain the trust and confidence of the public, regulators, and government agencies at the federal, state and local levels.

The Director, Autonomous Driving Safety is responsible for leading the development and implementation of a comprehensive safety management system for ADMT LLC in cooperation with the responsible departments and other relevant VW structures globally. In this context, the Director, Autonomous Driving Safety will drive the development and implementation of policies and procedures to ensure compliance with safety regulations, industry standards and best practices for autonomous driving system development and operations in the US. The Director, Autonomous Driving Safety will have independence from the technology and business development organizations to provide the assurance that ADMTs operations are safe, that risks are assessed, and sufficient plans are in place to manage risk to an acceptable level. In this role, the Director, Autonomous Driving Safety will be the primary point of contact for all safety related topics towards both company leadership and external stakeholders including regulators (NHTSA, state and local), business partners, suppliers, government agencies, industry bodies, first responders and more.

Role Responsibilities:

SafetySystem,Strategy& Communications

DevelopandimplementSMS(SafetyManagementSystems)processesandactivitiesforincooperationwiththe responsible departments globally.

Bethe face andvoiceofADMTtotheoutsideworldonsafety-relatedmatters,includingparticipationinnationaland international forums on autonomous vehicle safety.

Activelydrivethesafety cultureacrossalllevelsoftheorganization,ensuringthat safetyandsecurity areanintegral part of all planning and decision-making.

Collaborategloballyacrossmulti-functionalorganizationsandbodiestointegrateandmaintainnecessarysafety principles, processes, and procedures.

DevelopandexecuteasafetycommunicationplanforsupportingADMTsexpansionandcommunity engagements.

Ensurethesafetyoftheautonomousdrivingfleetbyestablishingsafeoperatingprocedures,overseeingtheir implementation, and continuously improving based on lessons learned.

Establishprocessesnecessarytoensurecontinuoushandlingsafety-relateddisruptionsofADMTLLCsvehicle operations.

Co-leadoftheglobalADSafety Board(ADSB)alongsidetheADMTGmbHChiefSafetyOfficer (CSO)

Leadinvestigations onIncidents onpublic road testing with ID.Buzz AD and decide on Safety measures,such as Grounding fleets, Request SW Updates, Deviation permits etc.

EscalateandFeedinCrisisCommsforallADMTrelatedincidents,inform&updateVWGoACrisisComms team

Lead strategy and be the primary point of contact with internal safety departments, US regulatory agencies such as NHTSA,localsafetyagencies,firstrespondersandsimilarinrepresentingthecompanyonestablishingsafety-related policies and procedures in conjunction with autonomous driving vehicles.

Establishandimplementincident-andinvestigation-responseprocesses,includingtheirreporting,resolutionand timely responses to government and regulatory agencies, while mitigating reputational risks.

Guidethecommunicationsteamsonsafety-related messaging.

Lead activities for ADMT LLC to demonstrate product and operational safety compliance with relevant industry safetystandardsandguidelines(ISO,SAE,AVSC,etc.)forAutonomousDrivingSystems,includingthird-partyaudits, assessments, and certifications, where applicable.

Lead the update and publishing of the VSSA (Voluntary Safety Self-Assessment) document based on product improvementsandlearnings;ensurethatADMTsproductandoperationsfulfilltheclaimsincludedintheVSSA.

ReviewtheglobalproductSafetyAssuranceCaseanddrivethepreparationofsupplementarycontentwhere needed for US applications in support of the VSSA claims.

DevelopsafetyplansandassessmentstomeetoperationalneedsandexpectationsforspecificMobility- or Transportation-as-a-Service(MaaS/TaaS)implementationsandbusiness partners.

AnalyzeglobalsafetyperformancemetricsfortheirsufficiencytoreleaseproductsandservicesintargetUS markets.

Supportthesafetyteamsintechnicalreviews,includingcoordinationoflegalsupportwhereneededinthe interpretations of US regulations, traffic laws and more.

10+ years of relevant professional experience in a safety role intransportation, automotive, aviationor similar domain involving complex, safety-critical products

5+yearsofleadership/supervisoryexperience preferred

Education

BachelorsdegreeinEngineering,Robotics,ComputerScience,orarelated field

PREFERRED : MastersorPhDinEngineering,Robotics,ComputerScience,orarelatedfieldisa plus

Skills:

• Excellent written, communication and presentation skills with top management, internal / external partners, stakeholders, and project affiliates
• Ability to understand and extract action plans from complex technical discussions and translate into succinct messaging for cross-functional status reporting
• Self-motivated,flexibleindividualwithhighdegreeofinnovation,ownership,andaccountabilityfor results
• Workgloballyandcross-functionallytoensurenecessaryprojectsupportand prioritization
• Stronginitiative,andexcellentinfluencingandnegotiation skills
• Strongprocess orientation
• Analytical,strategical,andconceptualthinkingusinglogicand reason
• Strongdesiretolearnandcloseknowledgegapsrelatedtotechnologyandsoftwareusedinthe product
• Abletocontinuouslyquestionandchallengethestatus-quo,alwaysdocumentingandapplyingthelessons learned
• ValidStateDriving License

Required Skills:

• Deepexperienceinthesafetyengineeringofcomplex,software-controlled systems
• Knowledgeofapplicablesafetyregulationsandbestpractices(NHTSA,DOT,AVSC, etc.)
• Expertisewithmodernsystemsengineeringmethodsandtools,judgmentanddetailorientedinexercisingcareful planning
• Knowledgeofrecognizedgapsinglobalsafetystandards,particularlywhenappliedto autonomy
• Experienceleadingoroverseeingaccident/incident investigations
• Knowledge and experience designing a safety management system (SMS): including proactive, reactive, and reporting strategies
• Automotive,aviationorsimilarproductdevelopment experience
• Experienceinteractingwithregulatoryagenciesatthefederal,state,andlocallevels(NHTSA,NTSB, etc.)
• Safetycertificationinrelevant areas

Work Flexibility :

• AccommodationforworkingtimezonedifferencesbetweenUSlocationsandGermanyas needed
• Ready and able to travel (international and domestic) to remote offices, training facilities or other testing cities subject to business needs

Volkswagen Group of America is an Equal Opportunity Employer.We welcome and encourage applicants from all backgrounds,anddonotdiscriminatebasedonrace,sex,age,disability,sexualorientation,nationalorigin,religion, color,genderidentity/expression,maritalstatus,veteranstatus,oranyothercharacteristicsprotectedbyapplicable laws.

Senior Machine Learning Engineer – End-to-End Autonomous Driving Join to apply for the Senior Machine Learning Engineer – End-to-End Autonomous Driving role at XPENG Deutschland Senior Machine Learning Engineer – End-to-End Autonomous Driving 1 month ago Be among the first 25 applicants Join to apply for the Senior Machine Learning Engineer – End-to-End Autonomous Driving role at XPENG Deutschland Get AI-powered advice on this job and more exclusive features. XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity. We are seeking Deep Learning Engineers with strong expertise in machine learning (ML) and deep learning (DL) system design, along with solid software development skills. In this role, you will research, implement, and evaluate a unified end-to-end onboard model leveraging state-of-the-art technologies, including transformer-based architectures, diffusion models, reinforcement learning, and Vision-Language-Action (VLA) models. You will collaborate with a world-class team of experts in computer vision, AI systems, and software engineering to push the boundaries of autonomous vehicle performance. Your work will be powered by vast amounts of real-world multimodal data from our autonomous fleet, enabling the development of next-generation AI-driven driving solutions. Job Responsibilities Research and develop cutting-edge deep learning algorithms for a unified, end-to-end onboard model that seamlessly integrates perception, prediction, and planning, replacing traditional modular model pipelines. Research and develop Vision-Language-Action (VLA) models to enable context-aware, multimodal decision-making, allowing the model to understand visual, textual, and action-based cues for enhanced driving intelligence. Design and optimize highly efficient neural network architectures, ensuring they achieve low-latency, real-time execution on the vehicle’s high-performance computing platform, balancing accuracy, efficiency, and robustness. Develop and scale an offline machine learning (ML) infrastructure to support rapid adaptation, large-scale training, and continuous self-improvement of end-to-end models, leveraging self-supervised learning, imitation learning, and reinforcement learning. Deliver production-quality onboard software, working closely with sensor fusion, mapping, and perception teams to build the industry’s most intelligent and adaptive autonomous driving system. Leverage massive real-world datasets collected from our autonomous fleet, integrating multi-modal sensor data to train and refine state-of-the-art end-to-end driving models. Design, conduct, and analyze large-scale experiments, including sim-to-real transfer, closed-loop evaluation, and real-world testing to rigorously benchmark model performance and generalization. Collaborate with system software engineers to deploy high-performance deep learning models on embedded automotive hardware, ensuring real-world robustness and reliability under diverse driving conditions. Work cross-functionally with AI researchers, computer vision experts, and autonomous driving engineers to push the frontier of end-to-end learning, leveraging advances in transformer-based architectures, diffusion models, and reinforcement learning to redefine the future of autonomous mobility. Minimum Skill Requirements MS or PhD level education in Engineering or Computer Science with a focus on Deep Learning, Artificial Intelligence, or a related field, or equivalent experience. Open to recent graduates. Strong experience in applied deep learning including model architecture design, model training, data mining, and data analytics. 1-3 years + of experience working with DL frameworks such as PyTorch, Tensorflow. Strong Python programming experience with software design skills. Solid understanding of data structures, algorithms, code optimization and large-scale data processing. Excellent problem-solving skills. Preferred Skill Requirements Hands on experience in developing DL based planning engine for autonomous driving. Experience in applying CNN/RNN/GNN, attention model, or time series analysis to real world problems. Experience in other ML/DL applications, e.g., reinforcement learning. Experience in DL model deployment and optimization tools such as ONNX and TensorRT. The base salary range for this full-time position is $174,720 - $95,680, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Motor Vehicle Manufacturing Referrals increase your chances of interviewing at XPENG Deutschland by 2x Get notified about new Machine Learning Engineer jobs in Santa Clara, CA . 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• Research and develop cutting-edge deep learning algorithms for a unified, end-to-end onboard model that seamlessly integrates perception, prediction, and planning, replacing traditional modular model pipelines.
• Research and develop Vision-Language-Action (VLA) models to enable context-aware, multimodal decision-making, allowing the model to understand visual, textual, and action-based cues for enhanced driving intelligence.
• Design and optimize highly efficient neural network architectures, ensuring they achieve low-latency, real-time execution on the vehicle's high-performance computing platform, balancing accuracy, efficiency, and robustness.
• Develop and scale an offline machine learning (ML) infrastructure to support rapid adaptation, large-scale training, and continuous self-improvement of end-to-end models, leveraging self-supervised learning, imitation learning, and reinforcement learning.
• Deliver production-quality onboard software, working closely with sensor fusion, mapping, and perception teams to build the industry's most intelligent and adaptive autonomous driving system.
• Leverage massive real-world datasets collected from our autonomous fleet, integrating multi-modal sensor data to train and refine state-of-the-art end-to-end driving models.
• Design, conduct, and analyze large-scale experiments, including sim-to-real transfer, closed-loop evaluation, and real-world testing to rigorously benchmark model performance and generalization.
• Collaborate with system software engineers to deploy high-performance deep learning models on embedded automotive hardware, ensuring real-world robustness and reliability under diverse driving conditions.
• Work cross-functionally with AI researchers, computer vision experts, and autonomous driving engineers to push the frontier of end-to-end learning, leveraging advances in transformer-based architectures, diffusion models, and reinforcement learning to redefine the future of autonomous mobility.

• MS or PhD level education in Engineering or Computer Science with a focus on Deep Learning, Artificial Intelligence, or a related field, or equivalent experience.
• Strong experience in applied deep learning including model architecture design, model training, data mining, and data analytics.
• 3 - 5 years + of experience working with DL frameworks such as PyTorch, Tensorflow.
• Strong Python programming experience with software design skills.
• Solid understanding of data structures, algorithms, code optimization and large-scale data processing.
• Excellent problem-solving skills.

• Hands on experience in developing DL based planning engine for autonomous driving.
• Experience in applying CNN/RNN/GNN, attention model, or time series analysis to real world problems.
• Experience in other ML/DL applications, e.g., reinforcement learning.
• Experience in DL model deployment and optimization tools such as ONNX and TensorRT.

• Research and develop cutting-edge deep learning algorithms for a unified, end-to-end onboard model that seamlessly integrates perception, prediction, and planning, replacing traditional modular model pipelines.
• Research and develop Vision-Language-Action (VLA) models to enable context-aware, multimodal decision-making, allowing the model to understand visual, textual, and action-based cues for enhanced driving intelligence.
• Design and optimize highly efficient neural network architectures, ensuring they achieve low-latency, real-time execution on the vehicle's high-performance computing platform, balancing accuracy, efficiency, and robustness.
• Develop and scale an offline machine learning (ML) infrastructure to support rapid adaptation, large-scale training, and continuous self-improvement of end-to-end models, leveraging self-supervised learning, imitation learning, and reinforcement learning.
• Deliver production-quality onboard software, working closely with sensor fusion, mapping, and perception teams to build the industry's most intelligent and adaptive autonomous driving system.
• Leverage massive real-world datasets collected from our autonomous fleet, integrating multi-modal sensor data to train and refine state-of-the-art end-to-end driving models.
• Design, conduct, and analyze large-scale experiments, including sim-to-real transfer, closed-loop evaluation, and real-world testing to rigorously benchmark model performance and generalization.
• Collaborate with system software engineers to deploy high-performance deep learning models on embedded automotive hardware, ensuring real-world robustness and reliability under diverse driving conditions.
• Work cross-functionally with AI researchers, computer vision experts, and autonomous driving engineers to push the frontier of end-to-end learning, leveraging advances in transformer-based architectures, diffusion models, and reinforcement learning to redefine the future of autonomous mobility.

• MS or PhD level education in Engineering or Computer Science with a focus on Deep Learning, Artificial Intelligence, or a related field, or equivalent experience. Open to recent graduates.
• Strong experience in applied deep learning including model architecture design, model training, data mining, and data analytics.
• 1-3 years + of experience working with DL frameworks such as PyTorch, Tensorflow.
• Strong Python programming experience with software design skills.
• Solid understanding of data structures, algorithms, code optimization and large-scale data processing.
• Excellent problem-solving skills.

• Hands on experience in developing DL based planning engine for autonomous driving.
• Experience in applying CNN/RNN/GNN, attention model, or time series analysis to real world problems.
• Experience in other ML/DL applications, e.g., reinforcement learning.
• Experience in DL model deployment and optimization tools such as ONNX and TensorRT.