Page Not Found | Uber

Uber

Quick summary

Work type
On-site
Location
San Francisco, CA
Posted
46 days ago
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $181k
$106k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $155,000–$207,350.

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 289 open roles on FindRole.

Listed pay typically runs $209,000–$209,000 across 76 roles with salary data.

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At a glance

TL;DR · Page Not Found | Uber

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Senior Software Engineer at Uber's Maps team, you will play a pivotal role in developing cutting-edge mapping solutions that power the company’s global navigation and logistics services. Your day-to-day responsibilities include designing scalable systems, implementing robust algorithms for map data processing, and collaborating with cross-functional teams to integrate real-time location data into Uber’s platforms. You will work extensively with technologies such as Python, C++, and JavaScript, leveraging cloud-based tools like AWS and Kubernetes. The role demands expertise in geospatial databases, machine learning, and distributed systems, all while addressing the complex challenges of serving millions of users worldwide.

Skills

No skills listed

What you'll do

  • Analyze user data to improve app functionality.
  • Develop algorithms to enhance ride-matching efficiency.
  • Implement security measures to protect user information.
  • Optimize payment systems for faster transaction processing.
  • Monitor system performance and troubleshoot issues promptly.

What we're looking for

  • Minimum 5 years of experience in logistics or transportation industry.
  • Proven track record in project management and team leadership roles.
  • Strong analytical skills with ability to interpret complex data sets.
  • Experience with supply chain optimization tools and software required.
  • Excellent communication skills for cross-functional collaboration needed.

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