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Motion Planning Internship Jobs (NOW HIRING)

Waabi

Research Scientist, Learnable Planner

Dallas, TX · On-site +1

$158K - $269K/yr

To learn more visit: www.waabi.ai The Motion Planning team delivers the core module within the ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

To learn more visit: www.waabi.ai The Motion Planning team delivers the core module within the ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$154K/yr

Experience with any of the following research areas: robotics, motion planning, embodied AI, human ... Demonstrated research and software engineering experience via an internship, work experience ...

Meta

AI Research Scientist, Robotics

Menlo Park, CA · On-site

$184K/yr

Experience with any of the following research areas: robotics, motion planning, embodied AI, human ... Demonstrated research and software engineering experience via an internship, work experience ...

Meta

AI Research Scientist, Robotics

Burlingame, CA

$219K/yr

... motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI * Demonstrated research and software engineering experience via an internship, work ...

Meta

AI Research Scientist, Robotics

Menlo Park, CA · On-site

$184K - $257K/yr

... motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from ... internship, work experience, coding competitions, or widely used contributions in open source ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$219K/yr

... motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI * Demonstrated research and software engineering experience via an internship, work ...

Meta

AI Research Scientist, Robotics

Burlingame, CA

$154K/yr

Experience with any of the following research areas: robotics, motion planning, embodied AI, human ... Demonstrated research and software engineering experience via an internship, work experience ...

Contoro Robotics

SW and Controls Engineer

Austin, TX · On-site

$44.75 - $57.25/hr

... a few interns, and own the software and controls backbone for the new product. As the product ... Work with the company's vision, motion planning, cloud, and autonomy teams to identify which proven ...

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Motion Planning Internship information

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How much do motion planning internship jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for motion planning internship in the United States is $17.36, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Motion Planning Internship vs Robotics Software Engineer?

AspectMotion Planning InternshipRobotics Software Engineer
Required CredentialsTypically pursuing or recent graduate in robotics, computer science, or related fieldBachelor's or master's in robotics, computer science, or engineering
Work EnvironmentInternship setting, often in research labs or tech companiesFull-time professional role in robotics development teams
Employer & Industry UsageUsed by companies developing autonomous systems, research institutionsEmployed in robotics, automation, and AI industries
Common Search & Comparison IntentUnderstanding entry-level opportunities in motion planningExploring career progression in robotics software development

The main difference between a Motion Planning Internship and a Robotics Software Engineer role lies in experience level and responsibilities. Internships are entry-level, focusing on learning and supporting projects, while Robotics Software Engineers hold full-time positions with greater responsibilities in developing and maintaining robotics systems.

More about Motion Planning Internship jobs
What cities are hiring for Motion Planning Internship jobs? Cities with the most Motion Planning Internship job openings:
What are the most commonly searched types of Motion Planning jobs? The most popular types of Motion Planning jobs are:
What states have the most Motion Planning Internship jobs? States with the most job openings for Motion Planning Internship jobs include:
What job categories do people searching Motion Planning Internship jobs look for? The top searched job categories for Motion Planning Internship jobs are:
Motion Planning Internship jobs near you
Infographic showing various Motion Planning Internship job openings in the United States as of June 2026, with employment types broken down into 5% Internship, 1% As Needed, 69% Full Time, 19% Part Time, and 6% Temporary. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $36,118 per year, or $17.4 per hour.

Research Scientist, Learnable Planner

Waabi

San Francisco, CA • On-site, Remote

$158K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 8 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World.
 
You will...
- Design and execute on a research agenda for deep-learning based motion planning for self-driving.
- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.
- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.
- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.
 
Qualifications:
- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be considered.
- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).
- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.
- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
- Proficient in reading and coding in Python.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
Bonus/nice to have:
- Previous experience in self-driving technology. 
- Experience deploying ML/DL models to a production motion planning or related robotics stack.
- Proficiency in Pytorch, Rust, C++ and/or CUDA.
The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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