**About the Role** Staff Engineers at Uber are the technical backbone of our most ambitious projects. As a Staff Engineer in the Mobility Org, you will have an impact that ripples across the entire Uber ecosystem, influencing technology decisions that affect millions of riders and drivers globally. You aren't just a coder; you are a pragmatic visionary and a humble teacher. You will design scalable systems, deliver high-efficiency code, and mentor a high-performing team of engineers to solve uniquely complex problems at internet scale. The Rides Engineering team is at the heart of Uber’s mission. We build the most highly trafficked experiences in the Uber app, including the Home Screen, Messaging, and the Core Trip Flow. Our current challenge is scaling personalization. We are partnering with UberAI to build our first personalized surfaces—a system that understands rider intent in real-time to provide the most relevant options. Our platform leverages a flexible, backend-driven UI that empowers teams across Uber (Transit, Micromobility, UberEats) to reach customers seamlessly. When you join this team, you are building the "front door" of Uber for the entire world. **What You’ll Do** - **Technical Strategy:** Define the 1-2 year technical vision for core surfaces, preparing backend systems for 10x growth. - **Architect for Scale:** Lead the implementation of mission-critical distributed systems for real-time personalization. - **Mentorship & Influence:** Coach senior and lead engineers while running high-level design reviews to maintain excellence. **Basic Qualifications** - **Experience:** 10+ years of experience with a track record of leading large-scale initiatives in a Staff capacity. - **Technical Depth:** Exceptional expertise in massive concurrency and low-latency distributed systems. - **Education:** BS/MS/PhD in Computer Science or related industry experience. **Preferred Qualifications** - **Advanced Degree:** Master’s or PhD in Computer Science or a related field. - **Strategic Influence:** Experience defining 1-2 year technical visions that align engineering goals with business outcomes. - **Domain Expertise:** Deep experience in integrating AI/ML models into high-throughput backend production surfaces. - **Open Source:** Contributions to open-source distributed systems or infrastructure projects (e.g., Go, Kafka, M3). - **MLE Experience**: Deep experience in designing end-to-end ML solutions is a significant plus. 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 fuelds progress. What moves us, moves the world - let’s move it forward, together. 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. \*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [accommodations@uber.com](mailto:accommodations@uber.com).