Page Not Found | Uber

Uber

Quick summary

Work type
On-site
Location
San Francisco, CA
Posted
51 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 and enhancing the company’s mapping technologies. Your daily responsibilities include designing scalable solutions that improve location accuracy and reliability across Uber’s global platform. You will work closely with cross-functional teams to integrate advanced geospatial data into our products, ensuring seamless user experiences for riders and drivers worldwide. Proficiency in Python, C++, or Java is essential, along with experience in GIS technologies such as PostGIS and OpenStreetMap. A deep understanding of cloud services like AWS and Kubernetes will be crucial for managing the large-scale infrastructure required to support Uber’s expansive mapping ecosystem.

Skills

No skills listed

What you'll do

  • Analyze user data to improve app functionality.
  • Develop algorithms to enhance ride-matching efficiency.
  • Optimize payment systems for faster transaction processing.
  • Implement security measures to protect user information.
  • 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 managing large-scale operations and supply chain optimization.
  • Strong analytical skills with expertise in data-driven decision making.
  • Excellent leadership abilities, including team management and mentorship.
  • Experience with technology platforms for tracking and optimizing fleet performance.

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