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 work on developing and scaling the company’s core mapping technologies. Your day-to-day responsibilities include designing robust systems that enhance location accuracy and user experience across all Uber platforms. You will collaborate with cross-functional teams to integrate advanced geospatial data and algorithms into real-time navigation solutions. The role requires expertise in Python, C++, and JavaScript, along with a strong understanding of cloud services like AWS or GCP. Experience with large-scale distributed systems, machine learning applications for mapping, and proficiency in DevOps practices are highly valued. This position addresses the critical need to improve global coverage and reliability of Uber’s map infrastructure, impacting millions of users worldwide.
Skills
What you'll do
- Analyze user data to improve app functionality.
- Develop algorithms to enhance ride-matching efficiency.
- Implement security measures to protect user information.
- Optimize payment systems for faster transaction processing.
- Monitor system performance and address technical issues promptly.
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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