Page Not Found | Uber

Uber

Quick summary

Work type: On-site
Location: San Francisco, CA
Posted: 36 days ago
Nearby: 99+ roles within 25 mi

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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 enhancing the company’s mapping technologies. Your day-to-day responsibilities include designing scalable solutions that improve location accuracy and user experience across various platforms. You will work closely with cross-functional teams to integrate advanced geospatial data into Uber’s core products, ensuring seamless navigation for millions of users worldwide. Proficiency in Python, C++, or Java is essential, along with expertise in GIS technologies such as PostGIS and OpenStreetMap. Experience with cloud services like AWS or Google Cloud will be highly beneficial. This role demands a deep understanding of large-scale data processing and optimization techniques to tackle complex challenges in real-time location services.

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.

Hybrid

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