Base Salary
$202k - $224k/yr
Responsibilities
- Partner with operational teams and domain experts to identify workflow improvements using AI agents, automation, and human decision-making.
- Design, develop, deploy, and operate agentic systems, backend services, APIs, integrations, data pipelines, and human-in-the-loop workflows.
- Own production reliability through observability, monitoring, alerting, troubleshooting, incident response, failure recovery, and performance improvement.
- Develop evaluation, testing, validation, safety, access-control, auditability, data-protection, and escalation mechanisms for AI-powered workflows.
- Create reusable agent capabilities, shared services, platform components, integration patterns, development tooling, and reliability frameworks.
- Translate ambiguous operational challenges into scalable, production-ready software and collaborate across technical and non-technical teams.
Requirements
- PhD or equivalent in Computer Science, Engineering, Mathematics, or a related field, or 3 years of full-time software engineering experience including 2 years of specialized technical software engineering experience.
- Specialized software engineering experience may come from education, full-time employment, training, coursework, research, or a combination of these.
- Strong experience designing, developing, and deploying production backend or distributed systems.
- Hands-on experience owning production systems, including monitoring, alerting, incident response, troubleshooting, failure recovery, and debugging across application, infrastructure, and data dependencies.
- Preferred experience building agentic AI applications or integrating LLMs with tools, APIs, enterprise data sources, and permissioned systems.
- Preferred familiarity with agent orchestration, evaluation frameworks, RAG, context management, model routing, and AI safety controls.
- Preferred experience in site reliability engineering, infrastructure, platform engineering, production engineering, or forward-deployed engineering environments.
- Ability to make architectural decisions, solve complex problems, collaborate across engineering teams, and work directly with business stakeholders.
Benefits
- Full-time employees are eligible to participate in a 401(k) plan.
- Employees are eligible for various benefits.
- The role has salary ranges for San Francisco and Sunnyvale, California, and is eligible for Uber's bonus program and potentially equity awards; compensation figures are excluded here.
About Uber
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now. The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.