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Motion Planning Internship Jobs (NOW HIRING)

Pronto

Robotics Planning Engineer

San Francisco, CA

$182K - $230K/yr

... internship) software development experience * Strong foundation in motion planning algorithms * Experience with computational geometry (collision detection, polygon operations) * Proficiency in ...

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 ...

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 ...

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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 4, 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.
Motion Planning Engineer (PhD, Intern)

Motion Planning Engineer (PhD, Intern)

DiDi Labs

San Jose, CA • On-site

$46/hr

Full-time, Internship

Posted 4 days ago

Job description

About The Company
DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.
About The Role
We are seeking a motivated PhD graduate with a strong research background in motion planning, robotics, or autonomous systems. In this role, you will apply your expertise in algorithm design and system integration to help develop next-generation planning capabilities for autonomous vehicles.
Responsibilities
  • Implement novel solutions for Behavioral Planning, enabling high-level decision-making for lane changes, merges, yields, and multi-agent interactions.
  • Design and optimize motion planning algorithms that integrate geometry-based path reasoning and context-aware speed reasoning into smooth, safe trajectories.
  • Develop and improve core geometry and velocity planning systems to ensure feasibility, compliance, and comfort across diverse driving scenarios.
  • Model complex driving environments and agent behaviors to create a robust world representation for planning under uncertainty.
  • Formulate cost functions and optimization frameworks that balance safety, comfort, and efficiency in trajectory selection.
  • Analyze, test, and debug system performance through simulation and real-world data, conducting root-cause investigations and proposing enhancements.
  • Collaborate with researchers and engineers across Perception, Prediction, and Control to ensure an integrated, reliable autonomy stack.

Qualifications
  • Recently completed or soon-to-complete PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
  • Research or Internship experience in one or more of the following:
  • Motion planning algorithms (optimization, sampling, graph/search-based methods)
  • Behavioral planning and decision-making under uncertainty
  • Trajectory optimization and control
  • Multi-agent interaction modeling
  • Proven research ability demonstrated by publications in top-tier conferences (e.g., RSS, ICRA, IROS, CVPR, NeurIPS, CoRL).
  • Hands-on experience in C++ and Python for implementing complex, real-time algorithms.
  • Excellent analytical and communication skills, with a collaborative mindset.
  • For Internship Applicants: This role offers a clear pathway, with top-performing interns receiving the opportunity to convert to a full-time engineer upon successful completion of the program.

The hourly rate for the Intern position in the selected city is $46. Interns will also be eligible for Intern benefits.
Applications are accepted on an ongoing basis. This posting is for an existing vacancy.
I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa

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