Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- —
- Posted
- 55 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 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 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 cutting-edge mapping technologies that power the company’s global operations. Your day-to-day responsibilities include designing scalable solutions, implementing robust algorithms, and collaborating with cross-functional teams to enhance map accuracy and real-time data integration. You will work extensively with Python, C++, and JavaScript, leveraging cloud services like AWS and Kubernetes for deployment and scaling. The role demands expertise in machine learning, geospatial analysis, and distributed systems, as well as a deep understanding of the challenges faced by large-scale transportation networks.
Skills
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 technology solutions.
- Monitor market trends to identify opportunities for service expansion.
What we're looking for
- Minimum 5 years of experience in logistics or transportation industry.
- Proven track record in managing large-scale projects and teams.
- Strong analytical skills with ability to interpret complex data sets.
- Excellent communication and negotiation skills with stakeholders.
- Experience in implementing technology solutions for operational efficiency.
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