Startups · AI

Software Engineer, Localization

Kodiak · Mountain View, CA · On-site

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About Kodiak

Backed by Battery, Lightspeed and CRV.

About the role

We are looking for a Software Engineer to join our Calibration, Localization and Mapping (CLAM) team — a problem solver looking to build expertise in state estimation, inertial navigation, and sensed odometry.

What they're looking for

  • Develop and integrate onboard navigation and pose estimation algorithms
  • Optimize sensor fusion and pose estimation using IMU, camera, and lidar sensors
  • Develop visual and lidar odometry algorithms
  • Develop navigation metrics for evaluating offboard and onboard performance of algorithms and systems in the autonomous trucking domain
  • Troubleshoot, problem solve, innovate, create, and collaborate
  • Evaluate sensor performance and optimize sensor selection
More about this role

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.

We are looking for a Software Engineer to join our Calibration, Localization and Mapping (CLAM) team — a problem solver looking to build expertise in state estimation, inertial navigation, and sensed odometry.

  • Develop and integrate onboard navigation and pose estimation algorithms.
  • Optimize sensor fusion and pose estimation using IMU, camera, and lidar sensors.
  • Develop visual and lidar odometry algorithms.
  • Develop navigation metrics for evaluating offboard and onboard performance of algorithms...

Read the full posting on Kodiak's site ↗

Mapping & Localization

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