Drimva

General Motors

Senior State Estimation Engineer

$171K–$261K

Sunnyvale, California, United States of America +2 · Remote/Hybrid · Senior · Full-time · Posted Sep 11, 2026

Location
Sunnyvale, California, United States of America
Remote - Washington
Mountain View, California, United States of America
Experience
3+ years of relevant industry experience; at least 3 years of extensive experience developing and deploying state-estimation and/or sensor-calibration systems. Preferred: at least 5 years of such experience.
Education
Bachelor’s degree in Robotics, Computer Science, Electrical Engineering, or a related technical field.

About the job

Designs and deploys sensor calibration and state-estimation systems for autonomous vehicles, including real-time localization and onboard implementation.

What you'll do

  • Design, develop, validate, and deploy state-estimation, localization, and sensor-calibration solutions.
  • Lead complex technical projects and advance scalable, robust, safety-critical onboard systems.
  • Mentor engineers and collaborate across teams to integrate autonomous-vehicle capabilities and shape technical roadmaps.

What they ask for

  • Bachelor’s degree in Robotics, Computer Science, Electrical Engineering, or a related technical field.
  • 3+ years of relevant industry experience.
  • At least 3 years developing and deploying state-estimation and/or sensor-calibration systems, particularly for real-time onboard applications.
  • Technical leadership in sensor calibration, state estimation, and/or localization; strong C++ and Python skills and hands-on development, integration, and testing experience.

Nice to have

  • AV/ADAS experience.
  • Master’s or PhD in Robotics, Computer Science, Electrical Engineering, or a related technical field; at least 5 years developing and deploying advanced state-estimation and/or sensor-calibration systems.

Pay

$170,600.00 - $261,300.00 (base salary)

Tools

C++, Python

AI focus

Develops state-estimation, localization, sensor-calibration, and sensor-fusion systems for autonomous driving, including real-time onboard deployment.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)