Senior Software Engineer

Uber

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$202,000–$202,000 / yr
Posted
25 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $202k
$106k most similar roles pay here $248k

This role pays more than 72% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $202k versus about $180k for comparable roles.

Based on 239 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 329 open roles on FindRole.

Listed pay typically runs $202,000–$202,000 across 71 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer

Senior Software Engineer at Uber's Maps team, you will work on developing and enhancing the company’s mapping technologies that power navigation and location services. Your day-to-day responsibilities include designing scalable solutions, collaborating with cross-functional teams, and implementing robust features using cutting-edge technologies. You should be proficient in Python, JavaScript, or Go, and have experience with cloud platforms like AWS or GCP. Knowledge of geospatial data processing and machine learning is a plus. The role involves tackling complex challenges such as real-time traffic updates and route optimization at massive scale to improve user experiences globally.

What you'll do

  • Analyze data to optimize ride-sharing algorithms.
  • Develop software features enhancing user experience.
  • Implement security measures protecting user data.
  • Monitor system performance and troubleshoot issues.
  • Collaborate with cross-functional teams on projects.

What we're looking for

  • Minimum 5 years of experience in logistics or transportation industry.
  • Proven track record in managing large-scale projects and teams.
  • Strong analytical skills with ability to interpret complex data sets.
  • Excellent communication and negotiation skills with stakeholders.
  • Experience in developing and implementing operational strategies.

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