What are the responsibilities and job description for the Staff Software Engineer - Android, Maps Display position at Uber Corporate?
Job Details
About the Role
The Maps Display team is responsible for the entire Uber Map stack-from the low-level native render engine, to the tile cutting and serving pipeline, all the way up to the APIs and integration layers used across all of Uber's apps. As a Staff Software Engineer on the Maps Display team, you will play a key role in shaping and scaling one of Uber's most critical platform components.
This is a high-impact role with visibility and influence across all of Uber's businesses. The work you do will power map experiences for Riders, Drivers, Couriers, and Eaters around the world. You'll collaborate with multiple mobile and backend teams to ensure our map platform is performant, customizable, and intuitive-serving diverse use cases from trip tracking to turn-by-turn navigation to location setting and search.
We're looking for a technical leader who thrives in a platform setting, with a deep understanding of mobile development and a passion for building foundational systems that accelerate product innovation at scale.
What You Will Do
1. Lead the design, architecture, and implementation of map interactions and map features in Uber's Android apps.
2. Collaborate closely with cross-functional partners including PMs, designers, backend engineers, and map data specialists to deliver seamless and scalable experiences.
3. Drive the evolution of Uber's map SDKs and UI frameworks to support real-time, highly-performant map visualizations.
4. Mentor and guide a team of engineers, influencing engineering best practices and fostering technical growth.
5. Own and improve critical aspects of map performance, latency, and rendering accuracy.
6. Partner with platform teams to push the boundaries of what's possible on mobile devices.
7. Contribute to long-term vision and technical strategy for Uber's Maps platform.
\\-\\-\\-\\- Basic Qualifications ----
1. Bachelor's degree in Computer Science, Engineering, or a related field-or equivalent practical experience.
2. 10 years of experience building Android applications in Java and/or Kotlin.
3. Deep understanding of Android fundamentals, UI rendering, and performance optimization.
4. Experience with custom views, OpenGL, or other rendering technologies.
5. Demonstrated ability to lead complex technical initiatives across teams.
6. Strong communication and cross-functional collaboration skills.
\\-\\-\\-\\- Preferred Qualifications ----
1. Experience working on maps, navigation, or location-based services.
2. Familiarity with GIS concepts and spatial data structures.
3. Previous experience contributing to Android SDKs or platform-level libraries.
4. Track record of mentorship and technical leadership within engineering teams.
For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [](;br>
Uber is proud to be an Equal Opportunity/Affirmative Action 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 Display team is responsible for the entire Uber Map stack-from the low-level native render engine, to the tile cutting and serving pipeline, all the way up to the APIs and integration layers used across all of Uber's apps. As a Staff Software Engineer on the Maps Display team, you will play a key role in shaping and scaling one of Uber's most critical platform components.
This is a high-impact role with visibility and influence across all of Uber's businesses. The work you do will power map experiences for Riders, Drivers, Couriers, and Eaters around the world. You'll collaborate with multiple mobile and backend teams to ensure our map platform is performant, customizable, and intuitive-serving diverse use cases from trip tracking to turn-by-turn navigation to location setting and search.
We're looking for a technical leader who thrives in a platform setting, with a deep understanding of mobile development and a passion for building foundational systems that accelerate product innovation at scale.
What You Will Do
1. Lead the design, architecture, and implementation of map interactions and map features in Uber's Android apps.
2. Collaborate closely with cross-functional partners including PMs, designers, backend engineers, and map data specialists to deliver seamless and scalable experiences.
3. Drive the evolution of Uber's map SDKs and UI frameworks to support real-time, highly-performant map visualizations.
4. Mentor and guide a team of engineers, influencing engineering best practices and fostering technical growth.
5. Own and improve critical aspects of map performance, latency, and rendering accuracy.
6. Partner with platform teams to push the boundaries of what's possible on mobile devices.
7. Contribute to long-term vision and technical strategy for Uber's Maps platform.
\\-\\-\\-\\- Basic Qualifications ----
1. Bachelor's degree in Computer Science, Engineering, or a related field-or equivalent practical experience.
2. 10 years of experience building Android applications in Java and/or Kotlin.
3. Deep understanding of Android fundamentals, UI rendering, and performance optimization.
4. Experience with custom views, OpenGL, or other rendering technologies.
5. Demonstrated ability to lead complex technical initiatives across teams.
6. Strong communication and cross-functional collaboration skills.
\\-\\-\\-\\- Preferred Qualifications ----
1. Experience working on maps, navigation, or location-based services.
2. Familiarity with GIS concepts and spatial data structures.
3. Previous experience contributing to Android SDKs or platform-level libraries.
4. Track record of mentorship and technical leadership within engineering teams.
For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [](;br>
Uber is proud to be an Equal Opportunity/Affirmative Action 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.
Salary : $223,000 - $248,000
