Overview
On Site
USD 167,000.00 - 185,500.00 per year
Full Time
Skills
Salesforce.com
FOCUS
Distributed Computing
Routing
Science
Software Engineering
Java
Python
Backend Development
Computer Science
Big Data
Apache Hadoop
Apache Hive
HDFS
Apache Kafka
Communication
Presentations
Geospatial Analysis
Algorithms
Law
Legal
Collaboration
Job Details
About the Role
The Maps Routing Engine & APIs Team owns a stack of technologies that produces the best route from point A to point B and predicts time (ETA) and distance between them. This includes sophisticated routing algorithms with a variety of cost functions, scalable systems to handle over a million QPS and secure and clean APIs for all of Uber to access the above said functionality. We power many Uber products ranging from pickup ETAs, marketplace matching, turn-by-turn navigation, fares, Eats, Freight, bicycles and more to come!
We are looking for a Software Engineer II to join our growing team in Uber's SF/Sunnyvale office and focus on route prediction and ETA accuracy challenges, different modality support, and scaling the large distributed system. You will have an opportunity to learn from the best experts in the field, make data-driven decisions based on observed user behavior, and impact millions of lives in a positive way, changing the way people move for the better.
What You Will Do
As a Software Engineer on Routing Engine & APIteam, you will:
- Design and implement solutions and features that improve Uber routing efficiency and accuracy
- Deliver and operate components and features for the distributed systems consumed by multiple teams and clients
- Propose and actively support ideas that drive Uber's mission forward
- Interact cross functionally with engineering, science, product, and operations teams' stakeholders
- Participate in an on-call rotation to monitor and support the services and tools the team owns
Basic Qualifications
- BS/BE degree in Computer Science or equivalent
- 2+ years of experience in software engineering
- Experience coding with Java, Go, or Python (or similar)
- Self motivated with a passion to learn.
- Solid understanding of distributed systems and hands-on experience in backend development
Preferred Qualifications
- MS or advanced degree in Computer Science or a related field
- Experience designing and deploying high performance, highly scalable distributed systems with extensive monitoring and logging practices
- Good understanding on big data architecture and hands-on experience on big data systems (using e.g. Hadoop, Hive, Hdfs, Kafka, Presto etc.)
- Outstanding verbal and written communication and presentation skills.
- Experience with Maps or Geospatial domain
- An understanding of graph search algorithms
For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.
For all US locations, 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.
The Maps Routing Engine & APIs Team owns a stack of technologies that produces the best route from point A to point B and predicts time (ETA) and distance between them. This includes sophisticated routing algorithms with a variety of cost functions, scalable systems to handle over a million QPS and secure and clean APIs for all of Uber to access the above said functionality. We power many Uber products ranging from pickup ETAs, marketplace matching, turn-by-turn navigation, fares, Eats, Freight, bicycles and more to come!
We are looking for a Software Engineer II to join our growing team in Uber's SF/Sunnyvale office and focus on route prediction and ETA accuracy challenges, different modality support, and scaling the large distributed system. You will have an opportunity to learn from the best experts in the field, make data-driven decisions based on observed user behavior, and impact millions of lives in a positive way, changing the way people move for the better.
What You Will Do
As a Software Engineer on Routing Engine & APIteam, you will:
- Design and implement solutions and features that improve Uber routing efficiency and accuracy
- Deliver and operate components and features for the distributed systems consumed by multiple teams and clients
- Propose and actively support ideas that drive Uber's mission forward
- Interact cross functionally with engineering, science, product, and operations teams' stakeholders
- Participate in an on-call rotation to monitor and support the services and tools the team owns
Basic Qualifications
- BS/BE degree in Computer Science or equivalent
- 2+ years of experience in software engineering
- Experience coding with Java, Go, or Python (or similar)
- Self motivated with a passion to learn.
- Solid understanding of distributed systems and hands-on experience in backend development
Preferred Qualifications
- MS or advanced degree in Computer Science or a related field
- Experience designing and deploying high performance, highly scalable distributed systems with extensive monitoring and logging practices
- Good understanding on big data architecture and hands-on experience on big data systems (using e.g. Hadoop, Hive, Hdfs, Kafka, Presto etc.)
- Outstanding verbal and written communication and presentation skills.
- Experience with Maps or Geospatial domain
- An understanding of graph search algorithms
For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.
For all US locations, 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.