Staff Software Engineer - Autonomous Mobility & Delivery

**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 Staff Software Engineer to help drive this journey forward. **What You Will Do** - Set the technical vision and lead the development of scalable systems that balance heterogeneous supplies of a hybrid marketplace - Architect complex, distributed systems that handle the challenges of AV and human fleet coordination, ensuring Uber’s platform is robust, reliable, and ready for large-scale autonomous deployments - Lead high-impact projects that span multiple teams and disciplines, collaborating with product, data science, operations, and external partners to drive innovation and deliver business-critical solutions - Design and optimize algorithms that solve core marketplace problems such as routing, matching, pricing, and positioning, while ensuring AV and human vehicle operations work seamlessly together - Innovate and lead the development of platform features that leverage autonomous vehicle data, pushing the boundaries of what is possible in mobility and delivery systems. - Mentor and guide senior engineers, driving the technical excellence of the team and fostering a culture of innovation and high performance - Collaborate across the organization to ensure that autonomous components integrate smoothly into Uber’s broader ecosystem, setting the stage for years to come **Basic Qualifications** - PhD or equivalent in Computer Science, Engineering, Mathematics or related field **AND** 2-years full-time Software Engineering work experience **OR** 5-years full-time Software Engineering work experience, **WHICH INCLUDES** 3-years total technical software engineering experience in one or more of the following areas: - Programming language (e.g. C, C++, Java, Python, or Go) - _Note the 3-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these).  The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated._ - Expertise in system design and architecture, with the ability to lead the development of complex, scalable systems - Strong leadership skills with a proven track record driving large, cross-functional projects and aligning stakeholders around a technical vision that delivers significant business impact - A focus on impact, with a history of making strategic decisions that align with business goals and deliver measurable outcomes **Preferred Qualifications** - 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 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 [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits). 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](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.