2026 PhD Software Engineer Intern (Observability Data Platform), United States

Overview

On Site
USD 67.00 per hour
Full Time

Skills

Embedded Systems
Supervision
Root Cause Analysis
Scalability
Debugging
Machine Learning (ML)
Generative Artificial Intelligence (AI)
Object-Oriented Programming
C++
Java
Python
Research
IDEA
Presentations
Publishing
Law
Legal
Collaboration

Job Details

We're looking for PhD candidates to intern on the Observability Data Platform team during summer 2026 (12 weeks). You will be embedded in our engineering team and work closely with other specialists, software developers, and product managers. As a PhD intern, you will work on an exciting yet bold problem in depth and independently, under the supervision of an experienced engineer on that team.

About the Team

At Uber, we provide a centralized, reliable, and interactive observability platform that includes metrics, logging, and tracing. This platform empowers engineers with the tools needed for monitoring, troubleshooting, and performing root cause analysis at scale. Currently, the platform handles more than 5 billion metrics per second, 4 million tracing spans per second, and 30 million logs per second-and it's continuously evolving to support Uber's growth. In addition to addressing common challenges associated with large distributed systems, such as scalability, availability, performance, and efficiency, our team also leverages GenAI to provide aggregated insights, enhancing engineers' debugging experiences.

What You'll Do

- Drive exciting, ambitious, previously unsolved projects from end to end
- Thrive in ambiguous requirements, and explore with curiosity
- Make data driven decisions, with exceptional execution
- Be motivated to own projects and push them forward with independence
- Most importantly, have a passion to make Uber better for our customers

Basic Qualifications

- Currently enrolled in a Ph.D. program studying distributed systems, machine learning or a related engineering field
- Candidates must have at least one semester/quarter of their education left following the internship

Preferred Qualifications

- Knowledge of underlying technical foundations of distributed systems and/or GenAI fundamentals
- Experience in one or more object-oriented languages, including C++, Java, Python, or Go
- Experience with observability domain, eg OpenTelmetry will be a plus
- Ability to communicate effectively with both technical and business partners
- Experience in simplifying/converting business problems into technical problems
- Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation
- Experience presenting at industry recognized academic conferences and a good publishing record

For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour.

For Seattle, WA-based roles: The base hourly rate amount for this role is USD$67.00 per hour.

For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour.

For all US locations, you will also be eligible for various 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](;br>
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.
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