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Design, operate, troubleshoot, and automate secure enterprise routing, switching, wireless, WAN, and cloud connectivity. Balance platform architecture, standards, lifecycle planning, and automation with incident response, change safety, and operational delivery. Reduce recurring reactive work through software, APIs, Infrastructure-as-Code, Git workflows, testing, and CI/CD.

As a Software Engineer on the Storage Infrastructure team, you will design, build, and operate systems for managing large-scale research data securely and reliably across multiple regions.

Research and develop novel safety mitigations for frontier AI systems: measure emerging risks, build and refine evaluations, design red-teaming pipelines, set research directions, and collaborate across domains (misalignment, cybersecurity, biology) to ensure enforceable, scalable, and effective safety stacks.

Develop and optimize large-scale compute systems for AI workloads, improving infrastructure reliability and performance across various layers of the stack.

Conduct research and build technical mitigations for risks from recursive self-improvement. Design monitoring, automated auditing, and evaluations of misalignment; prototype interventions and integrate them into safety pipelines; collaborate with engineering and stakeholders to deploy and verify controls.

Design and maintain scalable systems, collaborate with cross-functional teams, and enhance internal tooling while focusing on reliability and performance in infrastructure.

The role involves building infrastructure for AI agent execution environments, ensuring system reliability and optimizing performance at scale.