Page Not Found | Uber

Uber

Quick summary

Work type
On-site
Location
San Francisco, CA
Posted
22 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 maintaining cutting-edge mapping technologies that power Uber’s global operations. Your day-to-day responsibilities include designing scalable solutions, collaborating with cross-functional teams, and implementing robust features using modern software engineering practices. You will work extensively with technologies such as Python, C++, and JavaScript, alongside cloud services like AWS and Kubernetes. The role demands expertise in geospatial data processing, machine learning algorithms, and real-time systems to address complex challenges in route optimization and location-based services. As part of a highly innovative team, you will contribute to the development of mapping solutions that enhance user experience and efficiency across Uber’s vast network.

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 implement scalability solutions.

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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