Senior Software Engineer, Localization

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. 

The Localization team is responsible for the software that safely and accurately estimates positioning for the vehicles in the Aurora fleet. This involves processing high-rate data from a diverse suite of sensors in order to provide real-time, high-precision measurements of the location and motion of vehicles traveling on highways, surface streets, and endpoint facilities. We are searching for a Senior Software Engineer to join us in solving these technical challenges. 

In this role, you will

• 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

Required 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 (one or more of sensor fusion, Kalman Filtering, non-linear estimation, SLAM)


• Experience in estimation and modeling with sensor data (lidar, IMU, radar, camera)


• Deep understanding in relevant areas of mathematics, including spatial transforms, linear algebra, probabilistic estimation

Desirable Qualifications

• Prior experience in robotics or autonomous vehicle applications


• Prior experience with ML solutions and/or GPU development

The base salary range for this position is $162,000 - $260,000 per Year . Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

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