Staff Full-Stack Engineer — Real-Time Systems

Aurora

Mountain View (CA)

On-site

USD 189,000 - 303,000

Full time

14 days+

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Job summary

Aurora is building self-driving technology and operates a Services team. We are seeking a Staff Software Engineer to join Aurora Services to scale real-time data systems and fleet operations.

This role will shape the architecture and delivery of critical software used across our platform. You will lead cross-team initiatives, mentor engineers, and build scalable web services, APIs, and data pipelines, collaborating with autonomy, cloud infrastructure, and operations.

Qualifications

  • BS/MS/PhD in CS or related field or equivalent practical experience.
  • 8+ years of software development experience, designing, building, and operating large-scale full-stack systems.
  • Demonstrated leadership, mentoring senior engineers, and driving technical strategy.

Responsibilities

  • Architect and drive scalable full-stack web services for real-time data flows.
  • Provide technical leadership and influence architectural decisions across teams.
  • Develop and deploy robust, low-latency backend services, APIs, and data pipelines.
  • Mentor senior engineers and raise engineering standards across the organization.
  • Partner with autonomy, cloud infrastructure, and operations to define technical roadmaps.
  • Translate operational data into actionable insights via operator-facing tools and APIs.

Skills

Full-stack development
Distributed systems
API design
Leadership
Communication

Education

BS/MS/PhD in CS or related

Tools

AWS
Kubernetes
CI/CD
Monitoring/alerting

Job description

Aurora is building self-driving technology and operates a Services team. We are seeking a Staff Software Engineer to join Aurora Services to scale real-time data systems and fleet operations.

This role will shape the architecture and delivery of critical software used across our platform. You will lead cross-team initiatives, mentor engineers, and build scalable web services, APIs, and data pipelines, collaborating with autonomy, cloud infrastructure, and operations.

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