Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- —
- Posted
- 44 days ago
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 enhancing the company’s mapping technologies that power navigation and location services. Your day-to-day responsibilities include designing scalable solutions, implementing robust algorithms, and collaborating with cross-functional teams to integrate advanced features into our map products. You should be proficient in Python, C++, or Java, and have experience with geospatial data processing and machine learning frameworks like TensorFlow. The role requires a deep understanding of distributed systems and cloud technologies such as AWS or GCP. This position is crucial for solving complex challenges related to real-time traffic updates, route optimization, and user experience improvements at a global scale.
Skills
What you'll do
- Analyze user data to improve app functionality.
- Develop algorithms to enhance ride-matching efficiency.
- Optimize payment systems for faster transaction processing.
- Ensure compliance with global transportation regulations.
- Implement security measures to protect user information.
What we're looking for
- Minimum 5 years of experience in software engineering or related field.
- Proven track record of developing scalable and high-performance applications.
- Expertise in multiple programming languages such as Java, Python, or Go.
- Strong understanding of cloud platforms like AWS, Azure, or Google Cloud.
- Excellent problem-solving skills with a focus on complex technical challenges.
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