2027 Summer Intern, Onboard Autonomy, Embodied AI (PhD)

What you'll do

• Develop and evaluate algorithms for perception, prediction, planning, trajectory generation, controls, or integration.
• Use driving data and simulation to measure performance, investigate failures, and build tools for processing, visualization, testing, and evaluation.
• Improve system performance, contribute to production-quality software, collaborate across disciplines, and present technical findings.

What they ask for

• Currently pursuing a Ph.D. in Computer Science, Robotics, Electrical or Mechanical Engineering, Controls, Machine Learning, or a related STEM field.
• Experience in machine learning, computer vision, robotics, controls, optimization, or autonomous systems through coursework, research, projects, or professional work.
• Strong Python skills and experience with C++ or another systems programming language.
• Available to work full-time, 40 hours per week, during the internship.

Nice to have

• Experience with autonomous vehicles, ADAS, robotics, or ROS.
• Experience with PyTorch, TensorFlow, JAX, deep learning, transformers, multimodal learning, reinforcement learning, imitation learning, or trajectory prediction.

Pay

$14,600 per month (salary; base or total pay not specified)

Tools

Python, C++, ROS, PyTorch, TensorFlow, JAX

AI focus

Develop and evaluate machine-learning-based autonomy capabilities, including perception, prediction, planning, and trajectory generation.