Page Not Found | Uber

Uber

Quick summary

Work type
On-site
Location
San Francisco, CA
Posted
53 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 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 real-time data integration. You will work extensively with Python, C++, and JavaScript, leveraging cloud services like AWS and Kubernetes for deployment and scaling. This role demands expertise in geospatial technologies, machine learning, and distributed computing, as you tackle complex challenges such as optimizing route planning and improving user experience on a massive scale.

Skills

No skills listed

What you'll do

  • Analyze user data to improve app functionality.
  • Develop algorithms to optimize ride-sharing routes efficiently.
  • Implement machine learning models to predict demand surges.
  • Enhance security measures to protect user information and privacy.
  • Collaborate with designers to integrate new features seamlessly.

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 developing and implementing operational strategies.

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