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 work on developing and enhancing the company’s mapping technologies that power navigation and location services. Your day-to-day responsibilities include designing scalable solutions, implementing new features, and collaborating with cross-functional teams to integrate advanced geospatial data into Uber’s products. You will utilize cutting-edge technologies such as Python, C++, and JavaScript, alongside tools like Kubernetes and Docker for deployment and management. The role requires expertise in machine learning, spatial databases, and cloud infrastructure. This position addresses the critical need for accurate and real-time mapping capabilities to support Uber's global operations and enhance user experiences across various platforms.

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 teams.
  • Strong analytical skills with ability to solve complex problems.
  • Experience in data analysis and using BI tools for decision-making.
  • Excellent communication and stakeholder management skills.

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