2026 PhD Software Engineer Intern (Engineering Security), United States

Uber • Sunnyvale, CA • 4h ago

We're looking for PhD candidates to intern on the Engineering Security team during winter 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 contribute to research and development of AI agents for security and privacy. You'll explore methods to build, evaluate, and scale agents that can reason about complex systems, detect vulnerabilities, propose and apply patches, and verify security outcomes.

About the Team :

Join Uber's Engineering Security (EngSec) organization at our growing center of excellence for AI/ML initiatives. Our mission is transforming security and privacy through AI innovation, focusing on three critical areas: using AI to strengthen security capabilities, building secure-by-design AI systems, and protecting against emerging AI-based threats. We're developing the next generation of security and privacy platforms that leverage and defend against cutting-edge AI to protect Uber's ecosystem.

What You'll Do

Research and proto@type AI-driven agents that can discover, remediate, and verify security vulnerabilities

Design and evaluate automated patching and verification workflows using LLMs and agent-based architectures

Investigate reasoning, planning, and tool-use capabilities of LLM-based agents in security @contexts

Collaborate with researchers and engineers to integrate solutions into production systems

Document findings and contribute to technical reports, publications, or open-source tools

Basic Qualifications

Current PhD student in Computer Science, Artificial Intelligence, Security, or related field

Candidates must have at least one semester/quarter of their education left following the internship

Strong understanding of the LLM ecosystem and agentic AI frameworks (e.g., tool use, multi-step reasoning, orchestration)

Proficiency in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow)

Demonstrated ability to conduct independent research

Preferred Qualifications

Publications in top ML/AI or security venues (e.g., NeurIPS, ICML, ICLR, USENIX Security, CCS, IEEE S&P)

Familiarity with automated reasoning, program synthesis, or verification methods

Experience applying LLMs to security and software engineering tasks

Strong problem-solving and communication skills

For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. You will also be eligible for various benefits.

Uber is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform

Uber

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