Staff Security Engineer

Skills

About the Role

You'll set the technical direction for security across GPU compute, multi-cloud and Kubernetes environments, inference APIs, and AI systems. You'll design the security architecture, build controls yourself, threat model AI workflows, run design reviews and vulnerability management, mentor engineers, and make secure-by-default the easiest path, using AI tools daily.

Requirements

• AI fluency: daily use of LLMs, agents, and AI coding tools
• 8+ years of engineering experience, including 5+ in hands-on security engineering
• Deep knowledge of cloud security (AWS/GCP), Kubernetes, Linux, and identity and access systems
• Strong in Python or Rust and ships production code
• Record of security improvements adopted by engineering teams, led without formal authority
• Explains security risk in business terms

Responsibilities

• Design isolation for multi-tenant GPU workloads, customer code, and model execution
• Protect model weights, customer data, and inference endpoints with identity, encryption, and access controls
• Harden cloud, Kubernetes, CI/CD, and the software supply chain
• Threat model inference, agentic workflows, and internal AI tools
• Build guardrails for agents and AI tools
• Use LLMs and agents to automate security reviews, vulnerability triage, and remediation
• Own the security architecture and roadmap for highest-risk areas
• Run design reviews and publish secure patterns
• Run vulnerability management from discovery to fix
• Mentor engineers and raise the security bar

Benefits

• Equity
• Visa sponsorship and relocation help to San Francisco
• Health, dental, and vision insurance (US)
• Regular team events and offsites