Staff Software Engineer, AI Security

About the Team + Role

The mission of our team is to build a scalable and secure AI platform that enables security teams across Robinhood to develop and operate AI-powered agents and security solutions with confidence.

As a Staff Software Engineer on the AI Security team, you’ll help lead and build the foundational platform, infrastructure, and security primitives that make it easier for teams to develop AI-powered security capabilities at scale. You’ll work on complex engineering problems at the intersection of AI, distributed systems, and security, with a focus on identity, authentication, authorization, encryption, and platform safety.

This role is based in our Menlo Park, CA and Bellevue, WA office(s), with in-person attendance expected at least 3 days per week.

What You’ll Do

• Design and build a scalable AI platform that enables security teams to develop, deploy, and operate AI-powered agents and security capabilities.
• Build foundational platform services, APIs, libraries, and SDKs that make it easier for teams to integrate AI into security workflows.
• Design secure systems with strong identity, authentication, authorization, encryption, and data protection controls.
• Build and operate reliable, large-scale distributed systems that support AI-powered security use cases.
• Develop platform capabilities and guardrails that enable teams to safely build and operate AI agents.
• Partner with security, infrastructure, and engineering teams to understand their needs and translate them into reusable platform capabilities.
• Identify opportunities to improve platform performance, developer experience, reliability, and security through automation.
• Help shape the technical direction and architecture of Robinhood’s AI Security platform as the team and platform continue to grow.

What You Bring

• 8+ years of software development experience.
• 6+ years of experience building large-scale distributed systems, with experience designing systems around security concepts such as authentication, authorization, identity, or encryption.
• Experience building AI platforms, AI infrastructure, or production systems that support AI-powered applications or agents.
• Proficiency in Go or Python, with strong problem-solving and production debugging skills.
• Experience with cloud-native platforms and distributed systems technologies such as AWS, Kubernetes, gRPC, or Kafka.
• Strong understanding of security fundamentals and experience incorporating security into the design of production systems.
• Experience designing and building reusable platform capabilities, APIs, libraries, or developer tooling.
• Proven experience delivering large engineering projects with meaningful, long-term impact.
• Strong technical judgment and the ability to make thoughtful trade-offs across security, reliability, scalability, and developer experience.
• Ability to solve complex engineering problems and collaborate effectively across security and engineering teams.