Page Not Found | Uber

Uber

Quick summary

Work type
On-site
Location
San Francisco, CA
Posted
29 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 high-scale mapping solutions that power the company’s navigation features. Your day-to-day responsibilities include designing robust systems, implementing new features, and collaborating with cross-functional teams to enhance map accuracy and performance. The role requires expertise in Python, C++, or Java, along with experience in cloud technologies such as AWS or GCP. Knowledge of geospatial data processing and machine learning is a plus. You will tackle complex challenges related to real-time traffic updates, route optimization, and user experience improvements, contributing to the seamless navigation experiences Uber users expect globally.

Skills

No skills listed

What you'll do

  • Manage and optimize delivery routes using advanced logistics software.
  • Analyze rider data to improve pickup accuracy and reduce wait times.
  • Develop strategies to enhance driver-partner engagement and retention.
  • Monitor real-time traffic conditions to adjust dispatch algorithms dynamically.
  • Implement machine learning models to predict demand surges in urban areas.

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 experience using data analytics tools.
  • Excellent communication and leadership abilities for team management.
  • Experience with regulatory compliance and safety standards in transportation.

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