Staff Software Engineer (Backend) - Road Safety

Uber

Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA · Sunnyvale, CA
Salary
$232,000–$232,000 / yr
Posted
15 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k
This role $232k
$149k most similar roles pay here $264k

This role pays more than 80% of similar roles. Most pay $181,125–$230,400 — the shaded band above. At the midpoint, this role pays about $232k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

Uber currently has 95 open roles on FindRole.

Listed pay typically runs $232,000–$232,000 across 76 roles with salary data.

Most-posted roles

View all roles at Uber

At a glance

TL;DR · Staff Software Engineer (Backend) - Road Safety

As a Staff Software Engineer on Uber’s Road Safety Engineering team, you will design and lead the development of backend systems that process petabytes of real-time telematics and sensor data to enhance road safety for millions of users globally. Your day-to-day involves solving complex technical challenges by reducing complexity in codebases, navigating legacy systems, and integrating innovative technologies like GenAI. You will also champion engineering excellence through rigorous design reviews and mentorship while building strategic relationships with cross-functional teams to drive project success. This role requires expertise in backend development, distributed systems, and experience leading large-scale projects. Ideal candidates have a background in mobile telematics, sensor data processing, and real-time data pipelines, along with the ability to adapt to rapid changes and influence technical direction across diverse organizational areas.

What you'll do

  • Design and lead the development of backend systems that process petabytes of real-time data to enhance road safety.
  • Solve complex, high-impact problems by integrating advanced technologies like GenAI into existing systems.
  • Navigate legacy codebases and manage technical debt while driving innovation in large-scale distributed systems.
  • Forecast architectural needs 1–2 years ahead and work with leadership to implement proactive solutions.
  • Champion engineering excellence by setting standards for testing, observability, and code health under pressure.
  • Unblock multi-team projects by building strategic relationships with product, design, and data science teams.

What we're looking for

  • Experience designing and building large-scale distributed systems serving millions of users.
  • Proficiency in backend development, software engineering fundamentals, and system design.
  • Ability to lead complex technical projects spanning multiple teams or organizational areas.
  • Domain knowledge in mobile telematics, sensor data, time-series data, or signal processing.
  • Experience with streaming and real-time data pipelines or stream processing frameworks.
  • Systems thinking and a track record of influencing technical direction across organizations.

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