Staff Software Engineer - Fleet Intelligence

Aurora-posted 4 days ago
$189,000 - $303,000/Yr
Full-time • Mid Level
San Francisco, CA
Publishing Industries
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The Fleet Intelligence team sits at the core of Aurora's mission to scale safe autonomous driving. We build systems that synthesize data across our entire ecosystem-from vehicles, operators, and external sources-to improve real-time self-driving capabilities and operational excellence across our entire fleet.

  • 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.
  • BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience.
  • 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.
  • 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.
  • 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.
  • Annual bonus
  • Equity compensation
  • Comprehensive benefits package
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