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# Principal Engineer - Security AI

- **Company:** Uber
- **Location:** Sunnyvale, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $302,000
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Java (Programming Language), Artificial Intelligence, C++ (Programming Language), Cloud Computing Security, Code Review, Software Debugging, Programming Tools, Identity and Access Management, Intrusion Detection and Prevention, Python (Programming Language), Network Security, Zero Trust Network Access, Azure Machine Learning, Software Engineering, Large Language Models, Agentic-AI, Information Technology, Software Coding, Golang
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_88d6b4a0db1933ba48fb329ac7230a75

## About the Role

* 10+ years of experience in software engineering, with deep expertise in security.
 * Proven track record as a technical leader-driving design, influencing architecture, and mentoring senior engineers.
 * Expert knowledge in one or more of: secure systems design, applied cryptography, cloud security, identity and access management, zero trust architecture, or AI/agentic security.
 * Hands-on experience building or securing AI/ML platforms, LLMs, or agentic systems, with the ability to anticipate new classes of threats and define a long-term security roadmap.
 * Strong coding skills in languages such as Go, Python, Java, C++, or Rust.
 * Experience building scalable, reliable, and secure infrastructure and developer tooling.
 * Hands-on problem solver with ability to dive into complex codebases and debug.
 * Strong communication skills with ability to influence executives, peers, and engineers alike.
 * Passion for building secure systems that enable business innovation rather than slow it down., * Advanced degree (Master's or PhD) in Computer Science, Engineering, or a related field.
 * Experience in rapidly scaling tech environments, taking security products from zero-to-one.

## Description

* AI & Security Leadership: Lead Uber's approach to securing AI systems, including LLMs, agents, and next-gen infrastructure. Develop strategies for access management, monitoring, and threat detection in an AI-first world.
 * Engineer at Core: Design, prototype, and ship secure systems and tools. Contribute to code reviews, frameworks, and libraries that harden our infrastructure and applications.
 * Technical Leadership: Serve as a trusted technical leader and domain expert in cybersecurity-covering areas like identity, access, data protection, secure networking, and AI/agentic systems.
 * Architecture & Strategy: Drive long-term architecture decisions with a focus on security, scalability, and developer velocity. Influence engineering practices across the organization to embed security into design.
 * Hands-on Problem Solving: Investigate incidents, dive into code, and solve the hardest security challenges.
 * Cross-Functional Collaboration: Partner with infrastructure, product engineering, and business teams to integrate security seamlessly.
 * Innovation & Research: Stay ahead of emerging threats and technologies (cloud, AI agents, zero trust, supply chain security) and apply them to our environment.