Software Engineer, Infrastructure, Interpretability

Responsibilities

• Design, build, and own shared infrastructure for Interpretability, including research environments, data systems, and compute tooling.
• Lead cross-team efforts with agentic engineering, security, compute, and storage platform teams so company-wide solutions serve research needs.
• Discover and resolve major organization-wide developer experience issues.
• Help take interpretability methods from research code to dependable audit pipelines.

Requirements

• High proficiency in at least one programming language, such as Python, Rust, Go, or Java, and productivity with Python.
• Significant experience building and operating secure, scalable software infrastructure, including cloud systems, distributed systems, or developer tooling.
• Strong cross-functional communication skills, working effectively with researchers, platform teams, and security teams.
• Curiosity about unfamiliar domains and interpretability research’s role in AI safety.
• Ability to prioritize impactful work, operate with ambiguity, and question assumptions.
• Care for the societal impacts and ethics of technical work.

Nice-to-Haves

• Experience with cloud infrastructure, including Google Cloud or AWS, Kubernetes, networking, and infrastructure as code.
• Security engineering experience, including identity, authentication, access management, sandboxing, or red teaming.
• Experience with data warehousing, large-scale storage systems, and data lifecycle management.
• Experience with compute schedulers and accelerator fleet management.
• Experience building developer productivity tooling and observability stacks.
• Experience building tooling to accelerate research teams.

Representative Projects

• Design and stand up a hardened research environment for experimentation with frontier model weights.
• Build lifecycle management for petabytes of research data, including visibility, retention, and cost efficiency.
• Build self-service scheduling and capacity tooling.
• Create observability that catches infrastructure regressions before they cost researchers valuable time.

Compensation and Benefits

• Annual salary: $320,000–$485,000 USD.
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and experience.
• The role is based in the San Francisco office, with exceptional remote candidates considered case by case.
• Staff are currently expected to work from one of the company’s offices at least 25% of the time.
• Visa sponsorship may be available depending on the role and candidate.