Page Not Found | Uber

Uber

Quick summary

Work type
On-site
Location
San Francisco, CA
Posted
51 days ago

Market check

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

Senior Software Engineer at Uber's Maps team, you will play a pivotal role in developing and maintaining high-performance mapping solutions that power the company’s global navigation services. Your day-to-day responsibilities include designing scalable systems, implementing robust algorithms for map data processing, and collaborating with cross-functional teams to integrate real-time location updates and optimize route planning features. The ideal candidate possesses expertise in Python, C++, and JavaScript, along with a strong background in distributed computing and machine learning frameworks like TensorFlow or PyTorch. This role demands an understanding of large-scale geospatial datasets and the ability to tackle complex challenges related to urban navigation and traffic management on a global scale.

What you'll do

  • Manage and optimize delivery routes using advanced logistics software.
  • Analyze rider and driver data to improve service efficiency and reliability.
  • Develop strategies to reduce wait times and increase customer satisfaction.
  • Monitor market trends to inform pricing models and competitive positioning.
  • Implement new technologies to enhance the user experience for riders/drivers.

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 with data analytics tools and software for performance tracking.
  • Excellent communication and negotiation skills for stakeholder engagement.

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