Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- —
- Posted
- 55 days ago
Market check
Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $152,150–$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 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 play a pivotal role in developing and enhancing the company’s mapping technologies. Your day-to-day responsibilities include designing scalable solutions, collaborating with cross-functional teams, and implementing robust features that improve navigation accuracy and reliability for millions of users worldwide. The ideal candidate possesses expertise in Python, C++, or Java, along with experience in cloud services like AWS or GCP. Knowledge of machine learning frameworks such as TensorFlow or PyTorch is a plus. This role demands strong problem-solving skills, an understanding of geospatial data processing, and the ability to work on complex systems at large scale.
Skills
What you'll do
- Develop and implement innovative solutions to enhance user experience.
- Analyze data to identify trends and opportunities for product improvement.
- Collaborate with cross-functional teams to integrate new features efficiently.
- Ensure high performance and reliability of software applications.
- Maintain up-to-date knowledge of industry trends and technological advancements.
What we're looking for
- Minimum 5 years of experience in software engineering or related field.
- Proven track record of building scalable and reliable systems.
- Expertise in multiple programming languages such as Java, Python, or Go.
- Strong understanding of cloud technologies like AWS, Azure, or GCP.
- Excellent problem-solving skills with a focus on complex technical challenges.
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