Page Not Found | Uber

Uber

Quick summary

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

Market check

Salary context

How this pay compares to similar roles

Similar $181k
$106k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $155,000–$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 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 work on developing and maintaining high-scale mapping solutions that power the company’s global navigation services. Your day-to-day responsibilities include designing robust systems, implementing new features, and collaborating with cross-functional teams to enhance map accuracy and real-time traffic data. You will leverage technologies such as Python, JavaScript, and C++, alongside cloud platforms like AWS and Kubernetes. The role requires expertise in distributed systems, machine learning for predictive analytics, and a deep understanding of geospatial data processing. This position is crucial for solving complex challenges related to large-scale data management and improving user experience across Uber’s expansive global network.

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 enhance user experience.
  • Monitor market trends to inform pricing models and competitive positioning.
  • Implement security measures to protect user data and privacy.

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.

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