Page Not Found | Uber

Uber

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On-site
Location
Posted
53 days ago

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How this pay compares to similar roles

Similar $180k
$106k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $152,150–$207,350.

Based on 239 similar postings.

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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 362 open roles on FindRole.

Listed pay typically runs $209,000–$209,000 across 50 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 high-performance mapping solutions 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 data accuracy and coverage. You will work extensively with technologies such as Python, C++, and JavaScript, leveraging cloud services like AWS and Kubernetes for deployment and management. This role requires expertise in geospatial data processing, machine learning, and distributed computing. The Maps team tackles complex challenges at massive scale, ensuring that Uber’s users worldwide benefit from the most accurate and up-to-date mapping information available.

What you'll do

  • Manage and optimize delivery routes using advanced logistics software.
  • Analyze data to improve driver-partner satisfaction and retention rates.
  • Develop strategies to reduce operational costs without compromising service quality.
  • Monitor market trends to identify opportunities for expanding service offerings.
  • Coordinate with cross-functional teams to enhance the rider experience continuously.

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.

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