Planning and Control Adaptation Intern, Autonomous Driving

NVIDIA

. Support Planning and Control integration, parameter tuning, and adaptation across vehicle platforms with different dynamics, steering and braking systems, and actuator configurations .

Posted 10/13/2026full-timeBeijing • ChinaEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong programming skills in Python and C++, with a solid understanding of motion planning, vehicle control, and numerical optimization. Capable of analyzing driving issues and collaborating effectively with engineering teams to enhance autonomous driving systems.

Highest-signal resume keywords

Python ProgrammingC++ ProgrammingMotion PlanningVehicle ControlROS Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Path PlanningTrajectory OptimizationNumerical OptimizationVehicle KinematicsVehicle Dynamics

Soft Skills

Analytical SkillsProblem-SolvingTeamworkCommunication Skills

Tools & Technologies

Linux DevelopmentSimulation ToolsCARLAAutowareApollo

Industry Keywords

Autonomous DrivingParameter TuningCross-Carline TestingDriving SafetyEngineering Tool Development

Tech Stack

Tools & technologies

ApolloLinuxPythonC++

About the role

Key responsibilities & impact

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

What you’ll need

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
Familiarity with Linux development and software debugging workflows
Basic understanding of motion planning, vehicle control, vehicle kinematics or dynamics, or numerical optimization
Strong analytical, problem-solving, and teamwork skills
Proficient English communication skills, both written and verbal
Able to work at least three days per week throughout the internship
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

Benefits

Comp & perks

Internship opportunity with hands-on experience in issue analysis, algorithm validation, and engineering tool development
Collaboration with experienced engineers and global teams