Sr Software Engineer - Location & Sensors
- Compensation
- Not disclosed
- Location
- San Francisco, CA, United States
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- A Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field. Masters preferred.
- 5+ 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.
Nice to have
- Experience with geospatial data and location-based services
- Familiarity with sensor data processing and analysis
- Experience with Go, Java
- Experience with distributed systems
- Experience with big data pipelines like Flink and Spark
Full description
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.
Basic Qualifications
- A Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field. Masters preferred.
- 5+ 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
- Experience with big data pipelines like Flink and Spark
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.
For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.