Page Not Found | Uber

Uber

Quick summary

Work type: On-site
Location: San Francisco, CA
Posted: 57 days ago
Nearby: 99+ roles within 25 mi

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Salary context

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 238 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 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

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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 global operations. Your day-to-day responsibilities include designing robust systems, implementing new features, and collaborating with cross-functional teams to enhance map accuracy and reliability. You will utilize technologies such as Python, C++, and JavaScript, alongside cloud services like AWS and Kubernetes. The role requires expertise in distributed systems, machine learning, and geospatial data processing. As part of a fast-paced environment, you will tackle complex challenges related to real-time location tracking and route optimization for millions of users worldwide.

Skills

No skills listed

What you'll do

Analyze data to optimize ride-sharing algorithms.
Develop features enhancing user experience on mobile apps.
Implement security measures protecting user data privacy.
Monitor system performance to ensure reliable service delivery.
Collaborate with cross-functional teams for product development.

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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