Page Not Found | Uber

Uber

Quick summary

Work type
On-site
Location
San Francisco, CA
Posted
51 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 work on developing and enhancing the company’s mapping technologies that power navigation and location services. Your day-to-day responsibilities include designing scalable solutions, collaborating with cross-functional teams, and implementing robust features using cutting-edge technologies. You should be proficient in Python, JavaScript, or Go, and have experience with cloud platforms like AWS or GCP. Knowledge of geospatial data processing and machine learning is a plus. This role involves tackling complex challenges such as real-time traffic updates and route optimization at global scale, impacting millions of users worldwide.

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 identify opportunities for service expansion.

What we're looking for

  • Minimum 5 years of experience in software engineering or related field.
  • Proficiency in multiple programming languages such as Java, Python, and JavaScript.
  • Strong background in building scalable and high-performance systems.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Excellent problem-solving skills and ability to work under pressure.

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