Page Not Found | Uber

Uber

Quick summary

Work type: On-site
Location: San Francisco, CA
Posted: 51 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $181k

$106k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $155,000–$207,350.

Based on 239 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

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Senior Software Engineer at Uber's Maps team, you will work on developing and enhancing the company’s mapping technologies that power navigation and location services. Your day-to-day responsibilities include designing scalable systems, implementing robust algorithms, and collaborating with cross-functional teams to integrate real-time data into our maps platform. You will leverage Python, C++, and JavaScript, alongside cloud-based tools like AWS and Kubernetes. The role requires expertise in machine learning, geospatial analysis, and distributed computing. As part of a fast-paced environment, you will tackle complex challenges such as improving map accuracy and reliability at global scale to enhance user experience across Uber’s diverse product offerings.

Skills

No skills listed

What you'll do

Manage and optimize delivery routes using advanced logistics software.
Analyze data to improve driver retention and satisfaction rates.
Develop strategies to reduce delivery times and increase efficiency.
Coordinate with cross-functional teams to enhance customer experience.
Implement new technologies to support real-time tracking and communication.

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 in data analysis using tools like SQL, Python, or R.
Excellent communication and stakeholder management skills.
Bachelor’s degree in Business Administration, Logistics, Engineering, or related field.

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