Page Not Found | Uber

Uber

Quick summary

Work type
On-site
Location
San Francisco, CA
Posted
56 days ago

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.

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At a glance

TL;DR · Page Not Found | Uber

Senior Software Engineer at Uber's Maps team, you will play a pivotal role in developing and maintaining cutting-edge mapping technologies that power Uber’s global operations. Your day-to-day responsibilities include designing scalable systems, implementing robust algorithms, and collaborating with cross-functional teams to enhance map accuracy and performance. You will work extensively with Python, C++, and JavaScript, leveraging cloud services like AWS and Kubernetes for deployment and scaling. The role requires expertise in machine learning, data structures, and algorithm optimization, as well as a strong understanding of geospatial technologies. This position addresses the critical need for precise mapping solutions that support Uber’s diverse range of products across various global markets.

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 enhance on-time delivery performance metrics.
  • Coordinate with cross-functional teams to integrate new technologies.
  • Monitor market trends to inform business strategy and growth initiatives.

What we're looking for

  • Minimum 5 years of experience in logistics or transportation industry.
  • Proven track record in managing large-scale operations and supply chain optimization.
  • Strong analytical skills with proficiency in data analysis tools like SQL, Python.
  • Experience in developing and implementing strategic business plans and initiatives.
  • Excellent leadership abilities with a history of team management and development.

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