Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- —
- Posted
- 40 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 across the globe. Your day-to-day responsibilities include designing scalable solutions, collaborating with cross-functional teams, and implementing robust features using cutting-edge technologies. You should be proficient in Python, JavaScript, or Go, and have experience with cloud platforms like AWS or GCP. Knowledge of geospatial data processing and machine learning is a plus. This role involves tackling complex challenges such as real-time traffic updates and route optimization at massive scale to improve user experiences worldwide.
Skills
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 promotional activities.
- Implement security measures to protect rider and driver information.
What we're looking for
- Minimum 5 years of experience in logistics or transportation industry.
- Proven track record in managing large-scale projects and teams.
- Strong analytical skills with ability to interpret complex data sets.
- Excellent communication and negotiation skills with stakeholders.
- Experience in implementing technology solutions for operational efficiency.
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