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

Market check

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.

Most-posted roles

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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 high-performance 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 for real-time navigation and location services. You will work extensively with cutting-edge technologies such as Python, C++, and JavaScript, alongside cloud platforms like AWS and Kubernetes. The role demands expertise in geospatial data processing, machine learning algorithms, and distributed systems to address complex challenges in route optimization and traffic prediction at massive scale.

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 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 supply chain management and optimization techniques.

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