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Motion Planning Machine Learning Engineer Jobs (NOW HIRING)

DiDi Labs

Software Engineer, Motion Planning

San Jose, CA

$141K - $235K/yr

... Engineer to join our team and develop the core decision-making and motion planning systems for our ... Solid understanding of machine learning principles, reinforcement learning and related algorithms.

jobr.pro

Software Engineer - Motion Planning

San Jose, CA · On-site

$141K - $235K/yr

... Engineer to join our team and develop the core decision-making and motion planning systems for our ... Solid understanding of machine learning principles, reinforcement learning and related algorithms.

DiDi Labs

Software Engineer, Motion Planning

San Jose, CA · On-site

$141K - $235K/yr

... Engineer to join our team and develop the core decision-making and motion planning systems for our ... Solid understanding of machine learning principles, reinforcement learning and related algorithms.

Imagry

Motion Planning Engineer

San Jose, CA · On-site

Mid-Senior Algorithm Engineer | Motion Planning & Decision Making Imagry is looking for a talented ... Motion Planning, Decision Making, Optimization, Reinforcement Learning, Guidance, or LLM Fine ...

Imagry

Motion Planning Engineer

San Jose, CA · On-site

Description Mid-Senior Algorithm Engineer | Motion Planning & Decision Making Imagry is looking for ... Motion Planning, Decision Making, Optimization, Reinforcement Learning, Guidance, or LLM Fine ...

Orchard LLC

Machine Learning Engineer

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard ... Participate in technical discussions, scientific meetings, and project planning activities.

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Apple Inc.

Machine Learning Engineer

Sunnyvale, CA · On-site

$150K - $277K/yr

... motion impacting millions of users. Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML ...

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Motion Planning Machine Learning Engineer information

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$52K

$100.3K

$137K

How much do motion planning machine learning engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for motion planning machine learning engineer in the United States is $100,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $128,000.00 per year, depending on experience, location, and employer.

What does a motion planning machine learning engineer do?

A Motion Planning Machine Learning Engineer designs and develops algorithms that enable autonomous systems, such as self-driving cars or robots, to navigate complex environments safely and efficiently. They combine knowledge of robotics, machine learning, and optimization to create models that help machines predict and plan their movements. Responsibilities often include training machine learning models on sensor data, simulating motion scenarios, and improving decision-making processes for real-time navigation. This role is critical in advancing the safety and reliability of autonomous technologies.

What are typical challenges motion planning machine learning engineers face when integrating machine learning models into autonomous vehicle systems?

Motion Planning Machine Learning Engineers often encounter challenges related to ensuring real-time performance and reliability when deploying machine learning models on autonomous vehicles. These systems must process complex sensor data and make split-second decisions, so models must be both accurate and computationally efficient. Additionally, engineers need to rigorously test their algorithms in diverse scenarios to handle edge cases and ensure safety. Collaborating closely with software, hardware, and testing teams is essential to address integration issues and maintain system robustness.

What are the key skills and qualifications needed to thrive as a motion planning machine learning engineer, and why are they important?

A Motion Planning Machine Learning Engineer requires a strong background in robotics, computer science, and mathematics, often with a degree in a related field and experience in motion planning algorithms. Familiarity with programming languages like Python or C++, robotics middleware such as ROS, and machine learning frameworks like TensorFlow or PyTorch is typically expected. Strong problem-solving abilities, collaboration, and adaptability are key soft skills for excelling in multidisciplinary teams and dynamic environments. These skills enable the engineer to develop robust, efficient, and intelligent motion planning solutions critical for autonomous systems.

What are popular job titles related to Motion Planning Machine Learning Engineer jobs?

For Motion Planning Machine Learning Engineer jobs, the most frequently searched job titles are:

Infographic showing various Motion Planning Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $100,259 per year, or $48.2 per hour.

Senior Machine Learning Engineer, End-to-End Planning

Newark, CA • On-site

Lucid Motors
Manufacturing • 1 - 5K employees
Learn more about Lucid Motorsexternal

$158K - $217K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Key responsibilities

  • Develop and maintain high-performance, low-latency end-to-end planning algorithms for autonomous vehicle navigation in various scenarios.

  • Design reusable and optimized behavior and motion planning software architectures for autonomous driving systems.

  • Lead software development by deploying algorithms in closed-loop pipelines and real-world vehicle systems.

Lucid Motors rating

7.4

Company rating: 7.4 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

Job description

About Lucid

At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucids proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our Compromise Nothing approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience. 

We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine whats possible and shape the future of mobility.

Senior Machine Learning Engineer, End-to-End Planning 

Role:

  • Develop and maintain high-performance, low-latency end-to-end planning algorithms that enable vehicles to safely, accurately, and reliably navigate highway, urban, and parking scenarios in production autonomous driving applications.
  • Design reusable and optimized behavior and motion planning software architectures for Level 2/3/4 autonomous driving systems.
  • Develop and implement advanced machine learning algorithms for data-driven driving behavior and end-to-end planning.
  • Lead software development by applying full-stack autonomy expertise to design and deploy algorithms in closed-loop pipelines and real-world vehicle systems.
  • Collaborate closely with cross-functional teams to ensure seamless, robust implementation and deployment of motion planning products for autonomous driving systems.

Required Qualifications:

  • Masters degree or Ph.D. in Computer Science, Robotics, Machine Learning, or a related field.
  • Professional experience implementing reliable production systems involving vision-action models, vision-language-action (VLA) models, generative models such as diffusion or flow-matching models, and autonomous driving performance metrics.
  • Expert-level knowledge of hands-on experience with Python and PyTorch.
  • Solid understanding of state-of-the-art models and approaches in perception, prediction, and planning for autonomous driving.
  • Strong foundation in physics, probability, and statistics.
  • Experience leveraging AI-assisted development tools to improve software engineering efficiency, code quality, and development workflows.

Preferred Qualifications:

  • Experience building and validating real-time autonomous driving or robotics systems, including planning and behavior prediction.
  • Proficiency in C++ with strong software design and engineering skills.
 
 
At Lucid, we dont 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.
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)
$158,400—$217,800 USD

Compensation & Benefits: Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucids equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.  

Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations. 

Accessibility: Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at TA-Operations <@> lucidmotors.com. This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website.

Candidate Data Privacy: By submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. 

To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes. 

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About Lucid Motors

Sourced by ZipRecruiter

Lucid Motors is a highly innovative electric vehicle manufacturer located in Newark, CA, USA. Primarily engaged in the automotive industry, its mission is to elevate electric vehicles' standing and transform the way people travel. The company was founded in 2007 by Bernard Tse and Sam Weng as Atieva, a name under which it initially focused on battery technology. However, it pivoted towards automotive manufacturing and rebranded as Lucid Motors in 2016. The company is committed to making luxury, sustainable electric vehicles that break norms and set new standards with top-notch technology and engineering. Their mission aligns with their core values, which are centered around innovation, sustainability, and excellence. Notably, Lucid Motors launched the Lucid Air in 2020, an all-electric sedan well-received for its advanced features and impressive mileage.

Industry

Manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Newark, CA, US

Year founded

2007

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