Overview
On Site
USD 167,000.00 - 185,500.00 per year
Full Time
Skills
Software Engineering
Java
Scala
C++
Python
Backend Development
Computer Science
Mathematics
Presentations
Testing
Audiovisual
AV
Data Structure
Real-time
Routing
Decision-making
Optimization
Linear Programming
Algorithms
Dynamics
Pricing
Communication
Law
Legal
Collaboration
Job Details
About the Role
The AM&D (Autonomous Mobility & Delivery) team owns the autonomous future of Uber's Rides and Eats business, which is one of Uber's most important bets as a public company that sets the world in motion. Our goal is to eventually enable mass-scale AV commercialization globally in all 10000+ cities Uber operates. We are just getting started.
As we gradually but surely move towards this future, there are a full spectrum of engineering challenges that need to be tackled. Specifically:
1. How do we make sure Uber's customers, from riders, to eaters to merchants can have safe, informative and magical experiences with Uber without human driver interaction?
2. How do we drive AV adoptions with informative, trustworthy and exciting experiences?
3. How do we make sure a rider's autonomous ride share experience is still safe, informative and trustworthy without a human driver to interact with? From pickup, to on trip to drop off.
What the Candidate Will Do ----
1. Design and implement solutions and features within complex, highly scalable systems, ensuring the marketplace for autonomous vehicles operates efficiently at scale.
2. Drive technical projects from inception to completion, collaborating with cross-functional partners such as product managers, data scientists, and operations teams to deliver impactful solutions.
3. Develop and optimize algorithms to solve challenging problems in autonomous vehicle routing, matching, pricing, and incentive systems, directly influencing marketplace performance.
4. Contribute to the creation of new features and platform capabilities, leveraging autonomous vehicle data and operational insights to build innovative solutions.
5. Balance technical trade-offs between speed, performance, and quality, making informed decisions that align with both business goals and engineering best practices.
\\-\\-\\-\\- Basic Qualifications ----
1. 3+ years of Industry Software Engineering work experience (This role is not accepting intern applications)
2. BS/BE degree or equivalent in Computer Science, Engineering, Mathematics, or a related field
3. Experience coding with one or more of Java, Scala, Go, C++, Python (or similar)
4. Product Experience
5. Solid understanding and hands-on experience in backend development and complex, scalable systems
\\-\\-\\-\\- Preferred Qualifications ----
1. MS or PhD in Computer Science, Engineering, Mathematics or a related field
2. Outstanding verbal and written communication and presentation skills
3. Background in autonomous vehicles (AV), with hands-on experience in developing, testing, or optimizing AV systems or related technologies.
4. Strong understanding of algorithms and data structures, especially in the context of real-time optimization, routing, or decision-making systems.
5. Experience with optimization techniques, such as linear programming, dynamic programming, or heuristic algorithms, and their application in large-scale systems.
6. Knowledge of marketplace dynamics, including supply-demand matching, pricing, and incentive systems, particularly in autonomous or transportation-related domains.
7. Familiarity with simulation environments and tools used for validating autonomous systems or optimizing large-scale networks.
8. Strong communication and collaboration skills
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 Seattle, WA-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 AM&D (Autonomous Mobility & Delivery) team owns the autonomous future of Uber's Rides and Eats business, which is one of Uber's most important bets as a public company that sets the world in motion. Our goal is to eventually enable mass-scale AV commercialization globally in all 10000+ cities Uber operates. We are just getting started.
As we gradually but surely move towards this future, there are a full spectrum of engineering challenges that need to be tackled. Specifically:
1. How do we make sure Uber's customers, from riders, to eaters to merchants can have safe, informative and magical experiences with Uber without human driver interaction?
2. How do we drive AV adoptions with informative, trustworthy and exciting experiences?
3. How do we make sure a rider's autonomous ride share experience is still safe, informative and trustworthy without a human driver to interact with? From pickup, to on trip to drop off.
What the Candidate Will Do ----
1. Design and implement solutions and features within complex, highly scalable systems, ensuring the marketplace for autonomous vehicles operates efficiently at scale.
2. Drive technical projects from inception to completion, collaborating with cross-functional partners such as product managers, data scientists, and operations teams to deliver impactful solutions.
3. Develop and optimize algorithms to solve challenging problems in autonomous vehicle routing, matching, pricing, and incentive systems, directly influencing marketplace performance.
4. Contribute to the creation of new features and platform capabilities, leveraging autonomous vehicle data and operational insights to build innovative solutions.
5. Balance technical trade-offs between speed, performance, and quality, making informed decisions that align with both business goals and engineering best practices.
\\-\\-\\-\\- Basic Qualifications ----
1. 3+ years of Industry Software Engineering work experience (This role is not accepting intern applications)
2. BS/BE degree or equivalent in Computer Science, Engineering, Mathematics, or a related field
3. Experience coding with one or more of Java, Scala, Go, C++, Python (or similar)
4. Product Experience
5. Solid understanding and hands-on experience in backend development and complex, scalable systems
\\-\\-\\-\\- Preferred Qualifications ----
1. MS or PhD in Computer Science, Engineering, Mathematics or a related field
2. Outstanding verbal and written communication and presentation skills
3. Background in autonomous vehicles (AV), with hands-on experience in developing, testing, or optimizing AV systems or related technologies.
4. Strong understanding of algorithms and data structures, especially in the context of real-time optimization, routing, or decision-making systems.
5. Experience with optimization techniques, such as linear programming, dynamic programming, or heuristic algorithms, and their application in large-scale systems.
6. Knowledge of marketplace dynamics, including supply-demand matching, pricing, and incentive systems, particularly in autonomous or transportation-related domains.
7. Familiarity with simulation environments and tools used for validating autonomous systems or optimizing large-scale networks.
8. Strong communication and collaboration skills
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 Seattle, WA-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.