Software Engineer, AI Security

Responsibilities

• Design and build a scalable AI platform for developing, deploying, and operating AI-powered security agents and capabilities.
• Build foundational platform services, APIs, libraries, SDKs, and guardrails for integrating AI into security workflows.
• Design secure systems with identity, authentication, authorization, encryption, and data protection controls.
• Build and operate reliable large-scale distributed systems supporting AI-powered security use cases.
• Partner with security, infrastructure, and engineering teams to translate needs into reusable platform capabilities.
• Improve platform performance, developer experience, reliability, and security through automation.
• Help shape the technical direction and architecture of the AI Security platform.

Requirements

• 3+ years of software development experience.
• 2+ years of experience building large-scale distributed systems with security concepts such as authentication, authorization, identity, or encryption.
• Experience building AI platforms, AI infrastructure, or production systems supporting AI-powered applications or agents.
• Proficiency in Go or Python, with strong production debugging and problem-solving 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 production-system design.
• Experience building reusable platform capabilities, APIs, libraries, or developer tooling.
• Proven experience delivering large engineering projects with meaningful, long-term impact.
• Strong technical judgment and ability to balance security, reliability, scalability, and developer experience.
• Ability to solve complex engineering problems and collaborate across security and engineering teams.

Benefits

• Performance-driven compensation includes bonus programs, equity ownership, and 401(k) matching.
• Health insurance is 100% paid for employees and 90% covered for dependents.
• Eligible US employees can access the Robinhood Employee Fund.
• Access to AI tools and continuous AI skill-building.
• Flexible lifestyle wallet for wellness, learning, and other expenses.
• Employer-paid life and disability insurance, fertility benefits, and mental health benefits.
• Company holidays, paid time off, sick time, parental leave, and other time off.
• Catered meals, events, and comfortable workspaces.
• Based in Menlo Park, California or Bellevue, Washington, with in-person attendance expected at least three days per week.