Page Not Found | Uber

Uber

Quick summary

Work type
On-site
Location
San Francisco, CA
Posted
56 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 cutting-edge mapping technologies that power the company’s global navigation services. Your day-to-day responsibilities include designing scalable solutions, implementing new features, and collaborating with cross-functional teams to enhance map accuracy and user experience. You will leverage Python, JavaScript, and C++, working within a microservices architecture to ensure seamless integration across various Uber platforms. The role requires expertise in geospatial data processing, machine learning algorithms, and cloud-based technologies like AWS or GCP. As part of this high-impact project, you will address complex challenges related to real-time traffic updates, route optimization, and location services for 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 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 implementing technology solutions for operational efficiency.

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