Sr Software Engineer, Backend, Autonomous Vehicles
UberSunnyvale, United StatesPosted 12 March 2026
Job Description
Sr Software Engineer, Backend, Autonomous Vehicles
Department: Engineering
Team: Backend
Location: Sunnyvale, United States
Type: Full-Time
## **About the Role**
Uber’s **Customer Obsession (CO)** team is hiring a **Senior Software Engineer** to help build **high-scale, easy-to-use, full-stack customer engagement experiences** powered by **ML/AI**—with a focused charter supporting **Autonomous Vehicle (AV)** programs.
CO powers the “front door” of customer care for **riders, eaters, delivery partners, merchants, and support agents**—globally. We build seamless experiences across **web and mobile**, delivered through **text, voice, and video**. Our goal is simple: make it effortless for customers to self-serve when possible, and exceptionally efficient for agents when human help is needed.
We operate with a **customer-first, data-driven** mindset and a high bar for quality. The problems are complex, the scale is massive, and we don’t settle for “good enough.” We innovate across the full support journey to deliver experiences that feel **fast, intuitive, and magical**—and this role will help shape that journey for AV-related products.
## **What the Candidate Will Do**
- Architect and build **scalable, fault-tolerant systems** that support customer interactions around the world. Demonstrating technical leadership by setting technical direction for **large, multi-quarter initiatives**, balancing speed, quality, reliability, and cost.
- Partner closely with **Product, Data Science, and Operations** to define outcomes, translate needs into system designs, and ship measurable improvements.
- Identify friction and bottlenecks across the support lifecycle and deliver solutions that **reduce resolution time** and improve customer trust.
- Apply modern ML/AI capabilities to improve both **self-service** and **agent-assisted** experiences.
- Own critical systems end-to-end—from initial design through launch, iteration, and operational excellence in production.
- Define and drive best practices for **testing, deployment, monitoring, incident response, and post-production learning**.
If you’re excited