Page Not Found | Uber

Uber

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On-site
Location
Posted
55 days ago

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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 239 similar postings.

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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.

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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