**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 Software Engineer II to help drive this journey forward. **What You Will Do** 1. Work on marketplace tech to enable Uber's hybrid marketplace strategy 2. Build highly scalable backend services 3. Integrate with 3P autonomous provider with Uber core services 4. Develop and optimize algorithms to solve challenging problems in autonomous vehicle routing, matching, pricing, and incentive systems, directly influencing marketplace performance. 5. Contribute to the creation of new features and platform capabilities, leveraging autonomous vehicle data and operational insights to build innovative solutions. 6. 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. BS/BE degree or equivalent in Computer Science, Engineering, Mathematics or a related field 2. 2+ years of Software Engineering work experience 3. Grit, drive and a deep feeling of ownership 4. Experience coding with one or more of Java, Scala, Go, C++, Python (or similar) 5. Self motivated with a passion to learn 6. Solid understanding and hands-on experience in backend development and complex, scalable systems 7. Strong communication and collaboration skills \-\-\-\- 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$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 [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits). 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](https://forms.gle/aDWTk9k6xtMU25Y5A). 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.