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 work on developing and maintaining high-scale mapping solutions that power the company’s navigation and routing services. Your day-to-day responsibilities include designing robust systems, writing clean code, and collaborating with cross-functional teams to enhance map data accuracy and performance. You will leverage technologies such as Python, C++, and JavaScript, alongside cloud platforms like AWS and Kubernetes. The role requires expertise in distributed systems, machine learning for geospatial data, and a deep understanding of web services architecture. This position offers the opportunity to tackle complex challenges in real-time location-based services at global scale, impacting millions of users daily.

Skills

No skills listed

What you'll do

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

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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