Planning and Control Adaptation Intern, Autonomous Driving - 2027

NVIDIA is hiring a Planning and Control Adaptation Intern, Autonomous Driving - 2027 in Beijing, China. Level rates it ; you can apply on Level.

AI in this role

Supports planning and control integration, simulation, and tool development for autonomous driving systems as an intern.

pythonclinux

Are you looking to be part of a fun, creative company at the forefront of groundbreaking technologies? NVIDIA is leading the way in some of the world's most exciting tech areas, including Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles. We are widely recognized as one of the most desirable employers, with some of the most forward-thinking individuals in the industry working with us. There has never been a more exciting time to join our team!

We are looking for a highly motivated Planning and Control Adaptation Intern to join our autonomous driving team. You will work with experienced engineers to support Planning and Control integration and adaptation across multiple vehicle platforms, while gaining hands-on experience in issue analysis, algorithm validation, and engineering tool development.

What You Will Be Doing:

Support Planning and Control integration, parameter tuning, and adaptation across vehicle platforms with different dynamics, steering and braking systems, and actuator configurations.
Analyze driving issues involving path and speed planning, lane changes, merging, yielding, intersections, and lateral and longitudinal control.
Use simulation, replay tools, and vehicle logs to reproduce issues, investigate root causes, and validate improvements.
Perform cross-carline testing and evaluate driving safety, comfort, smoothness, and robustness.
Develop Python or C++ tools for log analysis, parameter comparison, regression testing, and result visualization.
Collaborate with Planning and Control engineers on integration, validation, and delivery for production autonomous driving programs.

What We Need to See:

Currently pursuing a Master's or PhD degree in Computer Science, Robotics, Automotive Engineering, Electrical Engineering, or a related field.
Good C++ or Python programming skills, with familiarity with Linux development and software debugging workflows.
Basic understanding of motion planning, vehicle control, vehicle kinematics or dynamics, or numerical optimization, with strong analytical, problem-solving, and teamwork skills.
Proficient English communication skills, both written and verbal, with the ability to collaborate effectively with global teams.
Able to work at least three days per week throughout the internship.

Ways to Stand Out from the Crowd:

Research, internship, or competition experience related to autonomous driving or robotics.
Familiarity with path planning, trajectory optimization, MPC, PID, A*, Hybrid A*, or related algorithms.
Experience with ROS, Apollo, Autoware, CARLA, CarMaker, or similar platforms.
Experience with vehicle logs, CAN signals, simulation, parameter tuning, or engineering tool development.

How we rate this

Planning and Control Adaptation Intern, Autonomous Driving - 2027 at NVIDIA rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Planning and Control Adaptation Intern, Autonomous Driving - 2027 is an open job at NVIDIA.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in China, Beijing.
The job was posted on October 13, 2026.
Seniority: intern.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

PythonCLinux

Questions you could be asked

What's a project where you used Python hands-on?
Walk me through how you've used C in your day-to-day work.
What are the limits of Linux that you've run into, and how did you work around them?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: Python, C, and Linux. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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