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Front-End Software Engineer, Self-Driving - San Francisco

Software, Advanced Technologies Group in San Francisco, CA

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.


We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

About the Role


As a Front End Engineer at Uber ATG, you'll build high-performance web visualization and analysis tools. These tools are used by many rapidly growing self-driving engineering teams, each with unique needs and challenges. This is a rare opportunity to build products used by internal and autonomy teams to operate the safest, most reliable, and efficient autonomous fleet. Our teams span from AV Maps, Core Platforms and Infrastructure, Machine Learning, Autonomy Engineering, and more.

What You’ll Do

  • Contribute to the future of self-driving technology.
  • Build 3D visualization applications on the frontier of web technologies, using and developing bleeding-edge tooling.
  • Adapt to meet the needs of our massive growth and rapidly evolving systems.
  • Write maintainable and extensible code with high quality tests and documentation.

What You'll Need: 

  • BS/MS/Phd in Computer Science or related field required
  • 2+ years front-end web development experience.
  • Demonstrated experience of shipping high-quality product features on schedule
  • Expertise in Javascript fand experience with frameworks like React, Angular, Backbone
  • Experience with Node.js, Grunt, Gulp, or other server-side Javascript technologies and tools
  • Familiarity with principles of good user experience.

Bonus Points If

  • Experience with WebGL / Web Assembly / 3D rendering.
  • Experience with network optimization, especially WebSockets, data compression and latency reduction.
  • Experience with algorithm design and selection to optimize CPU and memory usage for large N’s with limited system resources.
  • Strong open-source background.

About the Team:


At Uber, we believe technology has the power to make transportation more efficient, accessible, and safer than ever before. Self-driving technology has the potential to make these benefits an everyday reality for our customers, but it’s not going to happen overnight.  Building best-in-class self-driving technology will take time, and safety is our priority every step of the way. Operating inclusively and transparently, while displaying responsible behavior in a structured development are critical to safety. We at ATG seek candidates who will role model these values.

See our Candidate Privacy Statement

At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.