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 be part of a dynamic group focused on developing cutting-edge mapping solutions. Your primary responsibilities include designing and implementing scalable backend services that power real-time navigation features used by millions globally. You will work closely with data scientists and product managers to enhance map accuracy and user experience through advanced algorithms and machine learning techniques. Proficiency in Python, C++, or Go is essential, along with expertise in distributed systems, cloud technologies like AWS or GCP, and familiarity with geospatial databases such as PostGIS. This role demands a deep understanding of large-scale data processing and the ability to solve complex technical challenges in a fast-paced environment.
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 implementing technology solutions for operational efficiency.
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