Software Engineer, Cloud Engineer - Software, DevOps

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.

Aurora hires talented people with diverse backgrounds who are excited about building the future of transportation that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient & accessible for all.

The Aurora Services Engineering team creates full‑stack solutions including backend services, web apps, mobile apps, and real‑time onboard code that enable commercial operation of autonomous vehicle fleets  mission is to build the software that drives the commercial side of our platform such as assigning work to autonomous vehicles, providing remote support, managing a fleet of vehicles, and receiving orders from customers.

As Aurora prepares to massively scale its fleet and integrate with partners on an API level, the tools we build are critical to the efficient daily operation of our business.

• Design complex systems from the ground up, working closely with software, hardware, and infrastructure engineering teams along with other stakeholder teams within Aurora.
• Embrace AI tools to add new features which delight our users, along with improving frontend, backend, and onboard engineering efficiency.
• Build backend services running in Aurora’s AWS cloud used to monitor and manage the location and activity of our entire autonomous fleet.
• Establish technology and infrastructure to scale our products with high availability and reliability.
• Collaborate with stakeholders including Security, Product, Design, Safety, and Cloud Platform to achieve company milestones.
• Send suggestions and receive updates from vehicles in real time in order to ensure the safe operation of Aurora’s autonomous fleet.
• Contribute to and evolve our team culture around mentorship, feedback, collaboration, and engineering excellence.

• Phenomenal communication skills. You know how to write an effective technical spec, provide feedback to others, translate technical concepts into lay terms, and incorporate feedback into your efforts.
• A preference for action. You will use good judgment to balance speed and quality and will deliver products that are built in a responsible and sustainable way.
• The drive to make teams stronger. You’re excited to work hard and fast to the finish line on new opportunities with a collaborative and integrated team.
• Motivation to own the product lifecycle end to end. You’re happy to engage with our product and design teams and our internal customers to understand their needs and find ways to meet them.
• Strong backend service engineering skills. We use modern technologies to build our products including Golang, Python, C++, gRPC, Kubernetes, and AWS.
• Experience working with databases and caches such as Postgres and Redis.
• Bachelor’s or Master’s Degree in Computer Science or a related field.
• 6+ years of industry experience with a focus on high‑availability cloud services.

• Experience taking a SaaS development project into production at scale.
• Experience building gRPC services using Golang.
• Experience with IoT devices and Over‑the‑Air communication.
• Experience with Kubernetes, including service configuration, monitoring and deployment.
• Experience with cloud environments such as AWS, Google Cloud, or Azure.
• Experience with fleet management solutions for robots, vehicles, or aerial drones.
• Experience with external customer facing software including production rollout with real customers.

The base range for this position is $189,000 - $303,000. 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,…