Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- —
- Posted
- 50 days ago
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 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 work on developing and maintaining high-performance mapping technologies that power the company’s global navigation services. Your day-to-day responsibilities include designing scalable solutions, implementing robust algorithms, and collaborating with cross-functional teams to enhance map data accuracy and real-time traffic updates. The role requires expertise in Python, C++, and JavaScript, along with a strong understanding of cloud platforms like AWS or GCP. You should be familiar with geospatial databases such as PostgreSQL/PostGIS and have experience with machine learning frameworks for predictive analytics. This position offers the opportunity to tackle complex challenges at scale, impacting millions of users worldwide by improving route planning and enhancing overall user experience on Uber’s platforms.
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 real-time traffic conditions to adjust dispatch algorithms dynamically.
- Implement machine learning models to predict demand spikes in urban areas.
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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