Senior Software Engineer

Uber

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Hybrid

Quick summary

Work type: Hybrid
Location: San Francisco, CA
Posted: 13 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $168k

$119k $219k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $137,325–$197,750.

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 107 open roles on FindRole.

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At a glance

TL;DR · Senior Software Engineer

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As a Sr Software Engineer on the Geocore team, you will develop services to visualize, configure, and serve geospatial data. This role involves defining the physical boundaries where various products operate and determining the user experiences within the app. Your daily responsibilities include developing and implementing APIs to serve geospatial data, designing and building data pipelines to support machine learning workflows, and developing improvements to geofencing solutions. You will also document novel algorithms for these solutions. The position requires proficiency in Go and Java, along with knowledge of compilation steps in languages like C or C++. You must demonstrate experience with distributed systems, geospatial data, location-based services, and software engineering best practices, including AI-assisted development, to solve complex geospatial problems for diverse product lines.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

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Skills

Go Java C C++ Distributed Systems Geospatial Data APIs Data Pipelines Machine Learning Software Engineering Best Practices Algorithms AI-assisted development

What you'll do

Develop and implement APIs to serve geospatial data.
Design and build data pipelines to support machine learning workflows.
Design and develop improvements to Uber's geofencing solutions.
Document novel algorithms for improving geofencing solutions.
Develop services to visualize, configure, and serve geospatial data.
Deploy production systems using Go and Java.

What we're looking for

A Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
A Master's degree in a related technical field (preferred).
4+ years of professional software development experience developing and deploying systems in production environments.
Knowledge of compilation steps and ability to fix them in languages such as Go, C, C++, or Java.
Excellent written and verbal communication skills, including the ability to document architectures and algorithms.
Experience with Software Engineering Best Practices, including AI-assisted development.
Experience with distributed systems (preferred).
Experience with geospatial data, location-based services, and Go or Java (preferred).

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