Software Engineer, Infrastructure, Interpretability
Core
Build secure, scalable infrastructure enabling deep access to frontier AI models for interpretability research, focusing on security, privacy, data/compute management, and developer experience.
Role type
Senior IC infrastructure engineer (AI safety/interpretability)
Builds
Secure research environments, data systems, compute tooling, and observability stacks for model analysis
Domain
AI Safety / Interpretability / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, Rust, Go, Java, distributed systems, cloud systems, secure software infrastructure, cross-functional communication, ambiguity navigation
Preferred skills
Kubernetes, infrastructure-as-code, security engineering (IAM, sandboxing), data warehousing, large-scale storage, compute schedulers, accelerator fleet management, developer productivity tooling
Responsibilities
Design and own shared infrastructure for research environments, data systems, and compute tooling; Lead cross-team efforts with agentic engineering, security, compute, and storage teams; Resolve organization-wide developer experience issues; Help transition interpretability methods to dependable audit pipelines
Seniority
Senior, hands-on IC
