Overview
On Site
USD 167,000.00 - 185,500.00 per year
Full Time
Skills
Data Analysis
Fusion
Predictive Modelling
Machine Learning (ML)
Workflow
Computer Science
Computer Engineering
Electrical Engineering
Software Development
C
C++
Communication
Algorithms
Software Engineering
Geospatial Analysis
Location-based Services
Sensors
Data Processing
Java
Law
Legal
Collaboration
Job Details
About the Role
As a Software Engineer on the Location & Sensors team, you will play a crucial role in developing Uber's Location Platform to further enhance Uber's geospatial capabilities. The Location & Sensors team is focused on improving location accuracy and sensor data processing to power various Uber products and services. You will work on projects related to location data analysis, sensor fusion, and predictive modeling. This work directly impacts the efficiency and reliability of Uber's core operations, including moving people, food, and groceries from point A to point B.
What You Will Do
- Develop and implement APIs to serve Location and Inferences
- Collaborate with the team to improve location accuracy and sensor data processing.
- Design and build data pipelines to support machine learning workflows.
- Design and Develop improvements to Uber's location accuracy
- Document novel algorithms for improving Uber's location coverage.
Basic Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
- 2+ years of experience in professional software development experience, developing and deploying systems in production environments
- Knowledge of different compilation steps (and ability to fix) 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.
Preferred Qualifications
- Experience with geospatial data and location-based services.
- Familiarity with sensor data processing and analysis.
- Experience with Go, Java
- Experience with distributed systems
- Masters preferred
For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [](;br>
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](;br>
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
As a Software Engineer on the Location & Sensors team, you will play a crucial role in developing Uber's Location Platform to further enhance Uber's geospatial capabilities. The Location & Sensors team is focused on improving location accuracy and sensor data processing to power various Uber products and services. You will work on projects related to location data analysis, sensor fusion, and predictive modeling. This work directly impacts the efficiency and reliability of Uber's core operations, including moving people, food, and groceries from point A to point B.
What You Will Do
- Develop and implement APIs to serve Location and Inferences
- Collaborate with the team to improve location accuracy and sensor data processing.
- Design and build data pipelines to support machine learning workflows.
- Design and Develop improvements to Uber's location accuracy
- Document novel algorithms for improving Uber's location coverage.
Basic Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
- 2+ years of experience in professional software development experience, developing and deploying systems in production environments
- Knowledge of different compilation steps (and ability to fix) 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.
Preferred Qualifications
- Experience with geospatial data and location-based services.
- Familiarity with sensor data processing and analysis.
- Experience with Go, Java
- Experience with distributed systems
- Masters preferred
For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [](;br>
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](;br>
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.