Senior Localization Engineer: Real-Time Pose Estimation for AVs

AURORA; Mountain View (CA); Hybrid; USD 162,000 - 260,000; Full time

Benefits offered by this job

Annual bonus

Equity compensation

Benefits

Job summary

Aurora in Mountain View is seeking a Senior Software Engineer for the Localization team to design, implement, and maintain pose estimation solutions for vehicles and trailers. You will work with sensor data from lidar, IMU, radar, and cameras to deliver real-time localization.

The role requires a graduate degree in CS/Robotics/EE, deep knowledge of state estimation, and proven experience building production software. We offer a hybrid work environment with opportunities for growth and equity.

Qualifications

• 5+ years of industry experience building software in a production environment.
• Proficient in C++ and Python using modern best practices.
• Graduate level degree in CS/Robotics/EE.
• Deep knowledge of state estimation theory and practice (sensor fusion, Kalman Filtering, non-linear estimation, SLAM).
• Experience in estimation and modeling with sensor data (lidar, IMU, radar, camera).
• Deep understanding in mathematics, including spatial transforms, linear algebra, probabilistic estimation.
• Prior experience in robotics or autonomous vehicle applications.
• Prior experience with ML solutions and/or GPU development.

Responsibilities

• Design, implement, and maintain solutions for estimating the pose of vehicles and other assets, such as trailers
• Rigorously evaluate and test solutions to verify the safety and efficiency of the localization system
• Collaborate with engineers and stakeholders on partner teams to solve problems of high importance to Aurora products

Skills

C++

Python

Education

Graduate degree in CS/Robotics/EE

Job description

Aurora in Mountain View is seeking a Senior Software Engineer for the Localization team to design, implement, and maintain pose estimation solutions for vehicles and trailers. You will work with sensor data from lidar, IMU, radar, and cameras to deliver real-time localization.

The role requires a graduate degree in CS/Robotics/EE, deep knowledge of state estimation, and proven experience building production software. We offer a hybrid work environment with opportunities for growth and equity.