# Planning and Control Adaptation Intern

**Company**: NVIDIA
**Job type**: internship
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Beijing/Planning-and-Control-Adaptation-Intern--Autonomous-Driving---2027_JR2027182?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f315291b-f91

## Description

Join NVIDIA's autonomous driving team as a Planning and Control Adaptation Intern. 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.

**Responsibilities:**

- 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.

**Requirements:**

- 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.

**Nice to Have:**

- 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.

## Skills

### Required
- C++
- Python
- Linux
- software debugging
- motion planning
- vehicle control
- numerical optimization

### Nice to have
- autonomous driving
- robotics
- path planning
- trajectory optimization
- MPC
- PID
- A*
- Hybrid A*
- ROS
- Apollo
- Autoware
- CARLA
- CarMaker

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Beijing/Planning-and-Control-Adaptation-Intern--Autonomous-Driving---2027_JR2027182?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)