Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- —
- Posted
- 56 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 navigation services. Your day-to-day responsibilities include designing scalable systems, implementing robust algorithms for map data processing, and collaborating with cross-functional teams to integrate real-time location updates and optimize route planning. You will work extensively with technologies such as Python, C++, and JavaScript, leveraging cloud platforms like AWS and Kubernetes. The role demands expertise in geospatial data analysis, machine learning, and distributed systems, all while addressing the unique challenges of serving millions of users across diverse geographic regions.
Skills
What you'll do
- Manage and optimize delivery routes using advanced logistics software.
- Analyze data to improve driver-partner satisfaction and retention rates.
- Develop strategies to reduce operational costs without compromising service quality.
- Monitor real-time traffic conditions to adjust schedules dynamically for efficiency.
- Implement new technologies to enhance the user experience on the Uber platform.
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 supply chain management and optimization techniques.
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