2026 PhD Software Engineering Internship, Security, Amsterdam

Uber
Amsterdam, NetherlandsPosted 17 March 2026

Tech Stack

Job Description

2026 PhD Software Engineering Internship, Security, Amsterdam Department: University Team: Engineering Location: Amsterdam, Netherlands Type: Intern # **About the Team** Uber Engineering is growing quickly as we look to take on exciting opportunities at scale around the world. The Platform Security team builds the core security infrastructure that powers and protects our products at scale. We focus on creating robust, automated, and scalable security services that enable secure development, authentication, and communication across our platforms. Our mission is to secure sensitive data and ensure seamless access and identity management through well-designed, foundational security systems that are extremely reliable. We work on high-impact, backend services - ranging from service identity and secrets management to automated certificate lifecycle and secure service-to-service communication. As part of the team, you’ll be contributing to infrastructure that underpins secure operations across the company. **About the Role** This Internship is for the PhD student who wants to bridge the gap between "theoretical security" and "operational reliability".  It’s ideal for someone who is passionate about infrastructure security, distributed systems, and automation. You’ll have the opportunity to work across cloud and on-prem environments, gaining experience in security domains like PKI, secrets management, and identity services, with room to grow your technical depth and impact. **What You'll Do (Example Projects):** - **Drive AI-First Security:** Research and implement AI agents to interact with our security platforms, providing the next level of intelligence for safe decision-making. - **Solve Problems:** Navigate the messiness of credential usage data to build models that distinguish between active and obsolete identities and risk they present. - **Non-Human Identity Governance:** Help design a strategy to track AI agents and automated identities to ensure we can distinguish between legitimate agentic access and a security breach. - **Build a Contextual Knowledge Base:** Advance our security posture by building an
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