Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- San Francisco, CA
- Posted
- 55 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
Similar $189k
$131k
most similar roles pay here
$247k
This listing doesn't post a salary. Most similar roles pay $142,400–$236,187.
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 integrate real-time data into our map infrastructure. You will utilize Python, C++, and JavaScript extensively, alongside cutting-edge geospatial tools and cloud platforms like AWS and Google Cloud. This role demands expertise in distributed systems, machine learning for spatial analysis, and a deep understanding of web services architecture. The team tackles complex challenges such as handling massive datasets and ensuring seamless user experiences across diverse geographical regions.
Skills
What you'll do
- Analyze data to optimize ride-sharing algorithms.
- Develop software features enhancing user experience.
- Implement security measures protecting user data.
- Monitor system performance and troubleshoot issues.
- Collaborate with cross-functional teams on projects.
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 developing and implementing operational strategies.
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