Motion Planning Engineer Intern - Autonomous Driving R&D

DiDi Labs; San Jose (CA); On-site; USD 52,279 - 74,459; Full time

Benefits offered by this job

Intern benefits

Job summary

DiDi Labs in San Jose is looking for a motivated intern who has recently completed their PhD in Robotics or a related field. In this role, you will help develop next-generation planning capabilities for autonomous vehicles.

The internship offers a clear pathway to full-time Engineer roles and includes responsibilities like optimizing algorithms for behavioral planning, modeling driving environments, and analyzing system performance. The hourly rate is $46, and various intern benefits are available.

Qualifications

• Recently completed or soon-to-complete Ph.D. in a relevant field.
• Research or internship experience in motion planning algorithms and decision-making.
• Hands-on experience in C++ and Python for real-time algorithms.

Responsibilities

• Implement solutions for behavioral planning for decision-making.
• Design and optimize motion planning algorithms for safe trajectories.
• Develop systems ensuring feasibility and comfort in diverse scenarios.
• Model complex driving environments for robust planning.
• Analyze system performance through simulation and real-world data.

Skills

C++

Python

Motion planning algorithms

Behavioral planning

Trajectory optimization

Multi-agent interaction modeling

Education

Ph.D. in Robotics, Computer Science, Electrical Engineering or related field

Job description

DiDi Labs in San Jose is looking for a motivated intern who has recently completed their PhD in Robotics or a related field. In this role, you will help develop next-generation planning capabilities for autonomous vehicles.

The internship offers a clear pathway to full-time Engineer roles and includes responsibilities like optimizing algorithms for behavioral planning, modeling driving environments, and analyzing system performance. The hourly rate is $46, and various intern benefits are available.