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Internship Velocity Systems Jobs (NOW HIRING)

GTM Intern

San Jose, CA · On-site

$17.50 - $23.50/hr

Keep our systems sharp: iterate fast, reduce friction, and raise execution velocity You may be a good fit if you have * Previous work or internship experience in early-stage or high-growth startup ...

GTM Intern

San Jose, CA · On-site

$17.50 - $23.50/hr

Keep our systems sharp: iterate fast, reduce friction, and raise execution velocity You may be a good fit if you have * Previous work or internship experience in early-stage or high-growth startup ...

... velocity - across systems and components • Technical Leadership - Make sound trade-offs between ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

... velocity with flight test safety best practices and process. What You'll Do * Prepare Grid Aero ... Prior internships or work experience with start-ups, especially in the aerospace/UAS industry. Why ...

... velocity with flight test safety best practices and process. What You'll Do * Prepare Grid Aero ... Prior internships or work experience with start-ups, especially in the aerospace/UAS industry. Why ...

... velocity with flight test safety best practices and process. What You'll Do * Prepare Grid Aero ... Prior internships or work experience with start-ups, especially in the aerospace/UAS industry. Why ...

Our agents don't just respond to requests - they reason, take action across systems, and ... Own full-cycle recruiting for interns and new grads, delivering a fast, high-quality candidate ...

... tools, and systems that allow us to scale the code base, productivity, and the team • Recruit ... velocity and humility • Inspire and mentor less experienced engineers and interns Qualifications

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Internship Velocity Systems information

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How much do internship velocity systems jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for internship velocity systems in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Velocity Systems jobs? The most popular types of Velocity Systems jobs are:
Infographic showing various Internship Velocity Systems job openings in the United States as of July 2026, with employment types broken down into 9% Internship, 1% As Needed, 68% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Motion Planning Engineer (PhD, Intern)

Motion Planning Engineer (PhD, Intern)

DiDi Labs

San Jose, CA

$46/hr

Other

Posted 10 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++ 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