Autonomy & Sensing Systems Intern

General Motors LLC; Sunnyvale (CA); Hybrid; USD 132,000 - 163,000; Full time

Benefits offered by this job

Paid holidays

GM discounts

Job summary

General Motors LLC in Sunnyvale, CA invites top students to join the SEAM Internship to work on sensing, estimation, localization, or mapping for autonomous driving. You will collaborate with engineers to design algorithms, implement software, and evaluate system performance, gaining hands-on experience with multimodal data and real-time autonomy in a hybrid work arrangement (on-site 3 days/week).

The program emphasizes exposure to Kalman filtering, SLAM, and sensor calibration, with mentorship

Qualifications

• Currently pursuing a Master’s or PhD in a technical field.
• Experience in robotics, state estimation, sensor fusion, or localization.
• Strong coding in C++ and/or Python.
• Ability to work collaboratively in cross-functional teams.

Responsibilities

• Develop, prototype, and evaluate algorithms for sensor fusion and state estimation.
• Work with multimodal data sources (camera, lidar, radar, IMU).
• Implement software and tools for data processing and offline analysis.
• Analyze performance across diverse driving conditions.
• Follow software engineering practices: reviews, testing, CI, docs.
• Collaborate with perception, planning, controls, and robotics teams.
• Communicate findings and contribute to project documentation.

Skills

Robotics

Sensor fusion

State estimation

C++/Python

Linear algebra

Analytical skills

Teamwork

Communication

Education

Masters/PhD in engineering or related field

Tools

ROS

Git

Python

C++

Job description

General Motors LLC in Sunnyvale, CA invites top students to join the SEAM Internship to work on sensing, estimation, localization, or mapping for autonomous driving. You will collaborate with engineers to design algorithms, implement software, and evaluate system performance, gaining hands-on experience with multimodal data and real-time autonomy in a hybrid work arrangement (on-site 3 days/week).

The program emphasizes exposure to Kalman filtering, SLAM, and sensor calibration, with mentorship