Uber
Software Engineer II – Autonomous Mobility & Delivery
Uber, San Francisco, California, United States, 94199
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
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?
How do we drive AV adoptions with informative, trustworthy and exciting experiences?
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
Design and implement solutions and features within complex, highly scalable systems, ensuring the marketplace for autonomous vehicles operates efficiently at scale.
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.
Develop and optimize algorithms to solve challenging problems in autonomous vehicle routing, matching, pricing, and incentive systems, directly influencing marketplace performance.
Contribute to the creation of new features and platform capabilities, leveraging autonomous vehicle data and operational insights to build innovative solutions.
Balance technical trade-offs between speed, performance, and quality, making informed decisions that align with both business goals and engineering best practices.
Basic Qualifications
3 years of Industry Software Engineering work experience (This role is not accepting intern applications)
BS/BE degree or equivalent in Computer Science, Engineering, Mathematics, or a related field
Experience coding with one or more of Java, Scala, Go, C, Python (or similar)
Product Experience
Solid understanding and hands-on experience in backend development and complex, scalable systems
Preferred Qualifications
MS or PhD in Computer Science, Engineering, Mathematics or a related field
Outstanding verbal and written communication and presentation skills
Background in autonomous vehicles (AV), with hands-on experience in developing, testing, or optimizing AV systems or related technologies.
Strong understanding of algorithms and data structures, especially in the context of real-time optimization, routing, or decision-making systems.
Experience with optimization techniques, such as linear programming, dynamic programming, or heuristic algorithms, and their application in large-scale systems.
Knowledge of marketplace dynamics, including supply-demand matching, pricing, and incentive systems, particularly in autonomous or transportation-related domains.
Familiarity with simulation environments and tools used for validating autonomous systems or optimizing large-scale networks.
Strong communication and collaboration skills
Compensation and Benefits 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 benefits page (no link provided here).
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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
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?
How do we drive AV adoptions with informative, trustworthy and exciting experiences?
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
Design and implement solutions and features within complex, highly scalable systems, ensuring the marketplace for autonomous vehicles operates efficiently at scale.
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.
Develop and optimize algorithms to solve challenging problems in autonomous vehicle routing, matching, pricing, and incentive systems, directly influencing marketplace performance.
Contribute to the creation of new features and platform capabilities, leveraging autonomous vehicle data and operational insights to build innovative solutions.
Balance technical trade-offs between speed, performance, and quality, making informed decisions that align with both business goals and engineering best practices.
Basic Qualifications
3 years of Industry Software Engineering work experience (This role is not accepting intern applications)
BS/BE degree or equivalent in Computer Science, Engineering, Mathematics, or a related field
Experience coding with one or more of Java, Scala, Go, C, Python (or similar)
Product Experience
Solid understanding and hands-on experience in backend development and complex, scalable systems
Preferred Qualifications
MS or PhD in Computer Science, Engineering, Mathematics or a related field
Outstanding verbal and written communication and presentation skills
Background in autonomous vehicles (AV), with hands-on experience in developing, testing, or optimizing AV systems or related technologies.
Strong understanding of algorithms and data structures, especially in the context of real-time optimization, routing, or decision-making systems.
Experience with optimization techniques, such as linear programming, dynamic programming, or heuristic algorithms, and their application in large-scale systems.
Knowledge of marketplace dynamics, including supply-demand matching, pricing, and incentive systems, particularly in autonomous or transportation-related domains.
Familiarity with simulation environments and tools used for validating autonomous systems or optimizing large-scale networks.
Strong communication and collaboration skills
Compensation and Benefits 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 benefits page (no link provided here).
#J-18808-Ljbffr