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Motion Planning Internship Jobs (NOW HIRING)

ARi

Autonomy and Robotics Engineer

Peoria, IL · On-site

$70K - $80K/yr

LiDAR Cameras IMUs GPS Assist in designing motion-planning and path-planning modules for mobile ... internships, or industry experience. Understanding of robotics fundamentals including: Kinematics ...

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 ...

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

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 Jun 9, 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.

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Motion Planning Internship jobs near you

Software Engineer - Motion & Behavioral Planning

DiDi Labs

San Jose, CA

$129K - $214K/yr

Other

Posted 21 hours ago

Job description

Software Engineer – Motion & Behavioral Planning

San Jose, CA

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.

We are seeking a Software Engineer/Sr. Software Engineer to join our team and develop the core decision-making and motion planning systems for our autonomous vehicles. In this role, you will be responsible for creating the algorithms that enable smooth, safe, and intelligent navigation in complex environments. You will tackle challenges across the full motion planning stack, from high-level behavioral reasoning to low-level trajectory optimization.

  • Design and implement the core Behavioral Planning logic that determines the vehicle's high-level actions (e.g., lane changes, merges, yields, and interactions with other agents).
  • Develop and optimize the motion planning algorithms that execute behavioral decisions, integrating Geometry Reasoning (path) and Speed Reasoning (velocity) into a cohesive trajectory.
  • Architect and enhance the geometry system for generating geometrically feasible and compliant paths.
  • Architect and refine the velocity system for generating context-aware, comfortable, and safe velocity profiles.
  • Model complex driving scenarios and agent interactions to create a robust world model for the behavioral planner.
  • Design different costs for trajectory ranking to trade off ETAs, comfort and safety of the vehicle behaviors.
  • Conduct in-depth analysis, testing, and debugging of the system's performance in various scenarios, leading root cause investigations.
  • Collaborate with Prediction, Perception, and Control teams to ensure a seamless flow from environmental understanding to physical vehicle motion.

Qualifications

  • B.S./M.S. in Computer Science, Robotics, or a related field.
  • Experience in autonomous systems, robotics, or automotive software development.
  • Strong proficiency in C++ for implementing complex, real-time algorithms.
  • Solid understanding of robotics fundamentals, including decision-making, motion planning, control theory, trajectory ranking, search and optimization algorithms etc.
  • Related experience in one or more of the following: behavioral planning, motion planning, behavior and world environment reasoning, trajectory ranking and cost design.

Preferred Qualifications

  • PhD or internship experience related to robotics planning system designs.
  • Knowledge of vehicle dynamics and longitudinal/lateral control systems.
  • Solid understanding of machine learning principles, reinforcement learning and related algorithms.

The base salary range for this position is $129,189-$214,776 for Software Engineer and $148,594-247,038 for Sr. Software Engineer, annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. 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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