Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- San Francisco, CA
- Posted
- 51 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
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 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 play a pivotal role in developing and maintaining cutting-edge mapping technologies that power the company’s global operations. Your day-to-day responsibilities include designing scalable solutions, collaborating with cross-functional teams, and implementing robust features for real-time navigation and location services. You will work extensively with modern JavaScript frameworks, Python, and C++, leveraging cloud platforms like AWS and Kubernetes to ensure high performance and reliability. This role demands expertise in geospatial data processing, machine learning algorithms, and RESTful API design, as well as a deep understanding of large-scale distributed systems. Your contributions will directly impact the accuracy and efficiency of Uber’s mapping services, enhancing user experiences worldwide.
Skills
What you'll do
- Manage and optimize delivery routes using advanced logistics software.
- Analyze rider and driver data to improve service efficiency and reliability.
- Develop strategies to reduce wait times and enhance user experience.
- Monitor market trends to inform pricing models and promotional activities.
- Implement security measures to protect user data and privacy.
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 problem-solving skills with a focus on scalable solutions.
- Experience working with cloud platforms like AWS, Azure, or Google Cloud.
- Excellent communication and collaboration skills for cross-functional teams.
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