About the Role
Uber’s Customer Obsession (CO) org is hiring Senior Software Engineers to help build and scale one of the world’s largest AI-powered customer engagement platforms. Our systems power millions of real-time interactions across web, mobile, chat, voice, and video for riders, eaters, merchants, couriers, and support agents worldwide.
You’ll work at the intersection of state-of-the-art AI and Uber’s production-grade engineering infrastructure to deliver conversational assistants that are personalized, empathetic, and human-like—while staying aligned with Uber’s business policies and compliance requirements. This is a high-visibility opportunity to shape the next generation of customer assistants and ship products that make a measurable impact at global scale.
What You'll Do
We’re looking for a technically strong, product-minded engineer with experience building chatbots and customer-facing systems. You’ll design and deliver scalable, reliable, and maintainable conversational experiences by combining LLM prompting, Uber’s assistant-building platforms, and robust backend services.
In this role, you will:
Own and operate customer-facing systems that influence the support experience for millions of users
Drive end-to-end execution: identify ecosystem changes needed across Uber engineering, align stakeholders, build consensus, and deliver production-ready implementations
Build and scale full-stack systems that embed AI into real customer workflows and solve distributed systems challenges under heavy traffic
Help reduce issue resolution from minutes to seconds by improving automation quality, reliability, and user experience
If you’re excited by autonomy, technical depth, and building products that improve experiences for millions of users every day, this is a chance to do meaningful, visible work at global scale.
Basic Qualifications
BS degree or higher in Computer Science or a related field (or equivalent practical experience)
5+ years of industry experience as a Software Engineer building scalable, highly available platforms
Expertise with large-scale distributed systems (e.g., Kafka) and cloud platforms ( AWS, GCP, Azure) and proven track record leading the delivery of production-grade systems (deployment, monitoring, reliability, on-call readiness, incident learning)
Proficiency in at least one: Golang, Scala, or Java and comfortable with scripting in JavaScript and/or Python
Strong experience with microservices and gRPC/REST API design, including defining durable interfaces and platform standards
Excellent cross-functional communication skills: crisp design docs, architecture reviews, stakeholder alignment, and technical decision-makings
Preferred Qualifications
Experience with machine learning, GenAI, and/or LLM-based systems
Prior work building conversational assistants or chatbot platforms
Familiarity with dialog management systems (e.g., Google Dialogflow, Amazon Alexa)
Familiarity with multi-channel integrations (e.g., WhatsApp, SMS, Slack)
For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
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 fuels progress. What moves us, moves the world - let's move it forward, together.
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.
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.