Senior Software Engineer, Localization

Aurora Innovation
Mountain View, California$162k – $260kPosted 27 March 2026

Job Description

Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn . 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. #LI-td-1 #Mid-Senior Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom . Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what. Our commitment to inclusion Aurora considers candidates without regar ... (truncated, view full listing at source)
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