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Internship Fleet Engineer Jobs (NOW HIRING)

S3 Staffing USA

Electrical Engineer

Morrisonville, IL · On-site

... Internships count toward experience Required Skills: Hands-on experience with converter/inverter ... fleet telematics data Draft test plans for new features and charger validation Make design changes ...

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$13

$25

$38

How much do internship fleet engineer jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for internship fleet engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Internship Fleet Engineer vs Fleet Engineer?

AspectInternship Fleet EngineerFleet Engineer
Required CredentialsEnrolled in or recent graduate of engineering or related programBachelor's degree in engineering, relevant certifications often preferred
Work EnvironmentInternship setting, supervised, learning-focusedFull-time professional role, responsible for fleet management
Employer & Industry UsageUsed in companies with internship programs, entry-level positionsUsed in transportation, logistics, and fleet management industries

In summary, an Internship Fleet Engineer is a temporary, learning-focused position for students or recent graduates, while a Fleet Engineer is a full-time professional responsible for managing vehicle fleets. The internship provides hands-on experience, whereas the fleet engineer role involves ongoing operational responsibilities.

More about Internship Fleet Engineer jobs
What cities are hiring for Internship Fleet Engineer jobs? Cities with the most Internship Fleet Engineer job openings:
What are the most commonly searched types of Fleet Engineer jobs? The most popular types of Fleet Engineer jobs are:
What states have the most Internship Fleet Engineer jobs? States with the most job openings for Internship Fleet Engineer jobs include:
What job categories do people searching Internship Fleet Engineer jobs look for? The top searched job categories for Internship Fleet Engineer jobs are:
Internship Fleet Engineer jobs near you
Infographic showing various Internship Fleet Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $52,867 per year, or $25.4 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 7 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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