Aurora is at the forefront of revolutionizing transportation through self-driving technology with their flagship product, the Aurora Driver. This role as a Software Engineer in Perception offers an opportunity to work on cutting-edge machine learning and computer vision solutions for autonomous vehicles. You'll be joining a team dedicated to making transportation safer, more accessible, and more efficient than ever before.
The position requires expertise in both traditional software engineering and modern machine learning techniques, with a focus on developing and implementing perception algorithms that power the Aurora Driver. You'll be working with state-of-the-art deep learning models, tackling challenges in object detection, traffic actor recognition, and semantic understanding of complex traffic scenarios.
As a senior member of the team, you'll collaborate with other experts in the field, contributing to the development of production-ready solutions that directly impact the performance of autonomous vehicles. The role offers competitive compensation ($168K-$252K base salary) and the opportunity to work with cutting-edge technology in the autonomous vehicle industry.
Aurora values diversity and inclusion, considering candidates regardless of background while fostering a culture of winning together. The company has multiple offices across the United States, including San Francisco, Pittsburgh, and Dallas, offering a collaborative environment where you can make a significant impact on the future of transportation.
This role is perfect for someone who combines strong software engineering fundamentals with deep expertise in machine learning and computer vision, and who is passionate about bringing autonomous vehicle technology to reality. You'll be working on complex problems that require both theoretical knowledge and practical implementation skills, making this an exciting opportunity for those looking to push the boundaries of what's possible in autonomous driving technology.