Staff Software Engineer (AI Security)
Posted
Summary
As a Staff Software Engineer on Robinhood's AI Security team, you'll design and build scalable platform services, APIs, libraries, and SDKs that let teams develop AI-powered security capabilities. The role focuses on distributed systems, identity/authentication/authorization, encryption, and AI infrastructure, primarily using Go or Python on AWS and Kubernetes.
- 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 particular focus on areas such as identity, authentication, authorization, encryption, and platform safety
- You’ll partner closely with security and engineering teams across Robinhood to create systems that make AI development easier while ensuring security is built into the platform from the start
- This is a hands-on engineering role for someone who enjoys building platforms, solving complex technical problems, and helping shape how AI is securely adopted across security
- 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
- 6+ years of experience building large-scale distributed systems, with experience designing systems around security concepts such as authentication, authorization, identity, or encryption
- 8+ years of software development experience
- 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
- Proficiency in Go or Python, with strong problem-solving and production debugging skills
- Experience building AI platforms, AI infrastructure, or production systems that support AI-powered applications or agents
- Ability to solve complex engineering problems and collaborate effectively across security and engineering teams
- Proven experience delivering large engineering projects with meaningful, long-term impact
- Experience designing and building reusable platform capabilities, APIs, libraries, or developer tooling
- Strong technical judgment and the ability to make thoughtful trade-offs across security, reliability, scalability, and developer experience
