Page Not Found | Uber

Uber

Quick summary

Work type
On-site
Location
San Francisco, CA
Posted
54 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 robust algorithms, and collaborating with cross-functional teams to enhance map accuracy and performance. You will leverage Python, C++, and JavaScript, alongside cloud platforms like AWS and Kubernetes, to build innovative features for Uber's expansive user base. With a focus on real-time data processing and machine learning integration, you will tackle complex challenges in geospatial technology, ensuring seamless navigation experiences across diverse urban environments.

Skills

No skills listed

What you'll do

  • Manage and optimize delivery routes using advanced logistics software.
  • Analyze data to improve driver retention and satisfaction rates.
  • Develop strategies to reduce delivery times and increase efficiency.
  • Monitor market trends to identify opportunities for service expansion.
  • Implement safety protocols to ensure rider and driver protection.

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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