below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$151,106–$214,000.
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.
As a Sr Software Engineer - Location & Sensors, you will join the Location & Sensors team to enhance the Location Platform by improving location accuracy and sensor data processing. Your daily responsibilities include developing and implementing APIs to serve location and inferences, designing and building data pipelines to support machine learning workflows, and documenting novel algorithms to improve location coverage. You will work on projects involving location data analysis, sensor fusion, and predictive modeling to improve the reliability of moving people, food, and groceries. The role requires proficiency in languages such as Go, C, C++, or Java, along with experience in distributed systems and big data pipelines like Flink and Spark. You must demonstrate expertise in geospatial data, sensor data processing, and software engineering best practices.
What does a Software Engineer earn in California?
Median $214500 from 1193 postings across 76 companies.
Develop and implement APIs to serve Location and Inferences.
Design and build data pipelines to support machine learning workflows.
Design and develop improvements to Uber's location accuracy.
Improve location accuracy and sensor data processing.
Document novel algorithms for improving Uber's location coverage.
Develop and deploy systems in production environments.
What we're looking for
A Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
Master's degree (preferred).
5+ years of professional software development experience developing and deploying systems in production environments.
Knowledge of compilation steps and ability to fix them in 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.
Experience with geospatial data, location-based services, sensor data processing, distributed systems, or big data pipelines like Flink and Spark (preferred).
Go
Java
C
C++
Distributed Systems
Geospatial Data
APIs
Data Pipelines
Machine Learning
Software Engineering Best Practices
Algorithms
AI-assisted development