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 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 features. The ideal candidate possesses expertise in Python, C++, and JavaScript, along with a strong background in distributed computing and machine learning frameworks like TensorFlow or PyTorch. This role demands an understanding of large-scale geospatial datasets and the ability to tackle complex challenges related to urban navigation and traffic management on a global scale.
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 inform pricing models and competitive positioning.
- Implement new technologies to enhance the user experience for riders/drivers.
What we're looking for
- Minimum 5 years of experience in logistics or transportation industry.
- Proven track record in managing large-scale operations and teams.
- Strong analytical skills with ability to optimize processes and reduce costs.
- Experience with data analytics tools and software for performance tracking.
- Excellent communication and negotiation skills for stakeholder engagement.
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