Staff Software Engineer

Aurora Innovation Aurora Innovation · Robotics · Mountain View, CA · Software Technology Foundations

Staff Backend Software Engineer to join the Aurora Services Engineering team to build and scale fleet management tools for autonomous vehicles. This role involves designing and building backend services for monitoring and managing the fleet, ensuring high availability and reliability, and enabling commercial operations. The engineer will also collaborate with various teams and contribute to team culture.

What you'd actually do

  1. Design complex systems from the ground up, working closely with software, hardware, and infrastructure engineering teams along with other stakeholder teams within Aurora.
  2. Embrace AI tools to add new features which delight our users, along with improving frontend, backend, and onboard engineering efficiency.
  3. Build backend services running in Aurora’s fleet management cloud used to monitor and manage the location and activity of our entire autonomous fleet.
  4. Establish technology and infrastructure to scale our products with high availability and reliability.
  5. Collaborate with stakeholders including Security, Product, Design, Safety, and Cloud Platform to achieve company milestones.

Skills

Required

  • Golang
  • Python
  • C++
  • gRPC
  • Kubernetes
  • AWS
  • databases
  • caches
  • Postgres
  • Redis
  • backend service engineering skills
  • high-availability cloud services

Nice to have

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

What the JD emphasized

  • high availability and reliability
  • scale our products
  • commercial operation of autonomous vehicle fleets at scale