Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- —
- Posted
- 61 days ago
Market check
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 240 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
Senior Software Engineer at Uber's Maps team, you will play a pivotal role in developing and maintaining high-performance mapping solutions that power the company’s global operations. Your day-to-day responsibilities include designing scalable systems, implementing robust algorithms, and collaborating with cross-functional teams to enhance map data accuracy and coverage. You will work extensively with technologies such as Python, C++, and JavaScript, leveraging cloud services like AWS and Kubernetes for deployment and management. This role demands expertise in geospatial data processing, machine learning, and real-time data streaming. The team tackles complex challenges related to large-scale data integration and optimization, ensuring seamless navigation experiences for millions of users 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 increase customer satisfaction.
- Monitor market trends to identify opportunities for expanding services.
- Implement security measures to protect user data and privacy.
What we're looking for
- Minimum 5 years of experience in logistics or supply chain management.
- Proven track record in managing large-scale transportation projects.
- Expertise in data analysis and operational efficiency improvements.
- Strong leadership skills with a history of team mentoring and development.
- Excellent communication abilities for cross-functional collaboration.
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