Page Not Found | Uber

Uber

Quick summary

Work type: On-site
Location: San Francisco, CA
Posted: 54 days ago
Nearby: 99+ roles within 25 mi

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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 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

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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 navigation accuracy and efficiency, collaborating with cross-functional teams to integrate real-time data into map services, and implementing cutting-edge algorithms to improve user experience. Proficiency in Python, C++, and JavaScript is essential, along with expertise in cloud platforms like AWS or GCP. You should also have a strong background in machine learning frameworks such as TensorFlow or PyTorch. This role involves tackling complex challenges related to large-scale data processing and geographic information systems, contributing to Uber’s mission of making transportation more reliable worldwide.

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 enhance on-time delivery performance metrics.
Coordinate with cross-functional teams to integrate new technology solutions.
Monitor market trends to identify opportunities for service expansion.

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 experience in data-driven decision making.
Excellent communication and negotiation skills with stakeholders.
Experience in implementing technology solutions to improve efficiency.

Hybrid

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