Drimva

General Motors

2027 Summer Intern, SEAM, Embodied AI (Masters)

Sunnyvale, California, United States of America · Hybrid · Internship · Posted Oct 15, 2026

Experience
Experience may come from coursework, research, academic projects, or professional work; no number of years specified.
Education
Currently enrolled in or pursuing a master’s degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or a related technical field.

About the job

Develops and evaluates algorithms and software for autonomous-vehicle sensing, state estimation, localization, calibration, mapping, and reliability.

What you'll do

  • Prototype and evaluate autonomy algorithms using multimodal sensor and vehicle data.
  • Build software and tools for processing, visualization, simulation, offline analysis, and system evaluation; assess accuracy, robustness, latency, and failure modes.
  • Collaborate across engineering teams and communicate findings through discussions and documentation.

What they ask for

  • Currently enrolled in or pursuing a master’s degree in a relevant technical field.
  • Demonstrated experience in robotics, estimation, sensor fusion, computer vision, localization, mapping, controls, or a related area.
  • Strong programming skills in C++ and/or Python, with a foundation in relevant mathematical methods.
  • Available to work full-time, 40 hours per week, and graduating between December 2027 and June 2028.

Nice to have

  • Experience with methods such as Kalman filtering, factor graphs, SLAM, visual-inertial odometry, bundle adjustment, or multi-sensor calibration.
  • Familiarity with autonomous vehicles, ROS, large-scale sensor or map datasets, ML frameworks, or production software development.

Pay

$11,800 per month (monthly salary; currency not explicitly stated)

Tools

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

AI focus

Applies machine learning and related methods to autonomous-vehicle sensing, estimation, localization, mapping, and reliability; ML frameworks are listed as preferred experience.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)