Aurora's mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Fleet Intelligence team builds systems that synthesize data across Aurora's entire ecosystem to improve real-time self-driving capabilities and operational excellence across its entire fleet.
Requirements
- 8+ years of industry experience in software development, with a proven track record of designing, building, and operating large-scale full-stack systems.
- Deep expertise in both front-end and back-end development, including scalable web services, distributed systems, and modern API design.
- Proficiency with cloud infrastructure and DevOps practices (e.g., AWS, Kubernetes, CI/CD, and monitoring/alerting systems).
- Experience defining technical roadmaps and driving long-term strategic projects that span multiple engineering teams.
- Prior experience in autonomous vehicles, robotics, or real-time distributed fleet systems.
- Deep understanding of data modeling, data pipelines, and integrating third-party data sources into production systems.
Responsibilities
- Architect and drive strategic initiatives to build scalable full-stack web services that power real-time and offline data flows essential for fleet optimization, autonomy improvement, and commercial operations.
- Provide technical leadership and influence best practices across multiple teams, guiding the design, development, and deployment of complex systems at the intersection of web services and real-world autonomy.
- Develop and deploy robust, well-engineered solutions, leveraging modern frontend frameworks and building highly available, low-latency backend services, APIs, and data pipelines.
- Mentor and grow senior engineers, raising the technical bar for the entire organization through code reviews, design discussions, and promoting a culture of engineering excellence.
- Partner with leaders across autonomy, cloud infrastructure, and operations to define technical roadmaps, align on priorities, and drive complex projects from inception to completion.
- Translate complex operational data and autonomy metrics into actionable insights through scalable operator-facing tools and powerful APIs, directly improving our efficiency and product.
Other
- Demonstrated experience in a leadership role, driving technical strategy, influencing architectural decisions, and mentoring senior engineers.
- Exceptional communication and collaboration skills, with the ability to effectively partner with cross-functional teams and present technical solutions to a diverse audience.
- BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience.
