Our mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. To deliver this, we are building the Aurora Driver, a platform that brings together our software, hardware, and data services to power all types of veh...
Pros
Leadership continues to aim for transparencyCons
Difficult to make progress going through hoops of corporate processesAt Aurora, our mission to create a safer, more accessible, and more equitable world with self-driving technology starts with who we are and how we work today. Our company-wide commitment to equity and inclusion is essential to cultivating the team and creating the product that will safely deliver the benefits of self-driving to diverse people and communities.
Transforming how we move goods and people involves seeking to understand backgrounds, insights, and lived experiences that are different from our own. We believe that team collaboration, belonging, and trust give our employees the motivation and support they need to do their best work. As our team grows, we strive to attract and retain exceptional talent who can add new perspectives and experiences, and continue to drive innovation.
Learn more at the Aurora company culture page!
America's Best Startup Employers, Forbes, 2020 Forbes AI 50: America’s Most Promising Artificial Intelligence Companies, Forbes, 2020
Aurora seeks a Security Software Engineer I to develop and integrate security components for its autonomous vehicle platform in Mountain View, CA.
Senior technical product/program leader to drive large-scale autonomy projects with Behavior Planning and cross-functional engineering teams at Aurora.
Aurora is hiring a Staff Hardware Test Engineer in Mountain View to lead hardware validation, test automation, and lab characterization for complex self-driving systems.
Aurora seeks a Senior Mechanical Design Engineer to design and package high-performance computing and electronics modules for autonomous vehicles while supporting manufacturing and durability requirements.
Aurora seeks an ML Engineer (Synthetic Data) to develop and deploy generative and computer-vision methods that produce synthetic training data for sensing models powering the Aurora Driver.
Senior ML engineer role to develop and productionize computer-vision and deep-learning systems that power Aurora's online mapping and perception pipeline.
Software Engineer II to build and maintain Python-based test automation and V&V infrastructure for Aurora’s automotive hardware and firmware verification programs in Pittsburgh.