Senior Software Engineer - Autonomous Mobility & Delivery (San Francisco)

About the Role

The AM&D (Autonomous Mobility & Delivery) team owns the autonomous future of Uber's Rides and Eats business. As we move towards a world where autonomous and human-driven vehicles coexist, Uber is tackling the challenge of building a hybrid marketplace that seamlessly integrates autonomous vehicles into the existing mobility and delivery ecosystem. This requires a delicate balance of optimizing experiences across human and AV drivers, ensuring the marketplace remains reliable, efficient, and scalable.

Our team touches nearly every surface and core service Uber provides. Over the past year, we've also partnered with some of the leading Autonomous Vehicle OEMs, enabling successful integrations in both Mobility and Delivery. As we look ahead, we expect significant business growth and are looking for a Senior Software Engineer to help drive this journey forward.

What You Will Do

1. Lead the design and development of 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. Balance technical trade-offs between speed, performance, and quality, making informed decisions that align with both business goals and engineering best practices.

5. Contribute to the creation of new features and platform capabilities, leveraging autonomous vehicle data and operational insights to build innovative solutions.

6. Mentor and guide junior engineers, sharing your expertise to enhance team velocity and the quality of technical output.

7. Collaborate across teams to ensure seamless integration of marketplace components with the larger autonomous vehicle ecosystem, driving both immediate improvements and long-term strategic gains.

---- Basic Qualifications ----

1. BS/BE degree or equivalent in Computer Science, Engineering, Mathematics or a related field

2. 5+ years of Software Engineering work experience

3. Experience coding with one or more of Java, Scala, Go, C++, Python (or similar)

4. Self motivated with a passion to learn

5. Solid understanding and hands-on experience in backend development and distributed 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.

For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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

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-