Staff+ Software Engineer, Infrastructure, Interpretability
Menlo Ventures PortfolioSan Francisco, CA · full time · Staff
$405,000 – $485,000
Listed on Menlo Ventures Portfolio’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads infrastructure engineering for Anthropic's Interpretability team, building secure, scalable systems that give researchers safe access to frontier AI models while maintaining privacy and enabling rapid iteration. It's ideal for a senior engineer who thrives bridging research and platform teams, comfortable with ambiguity and experienced in building systems at scale.
Our summary, not Menlo Ventures Portfolio’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Cloud Infrastructure
- Data Warehousing
- Go
- Identity And Access Management
- Infrastructure as Code
- Java
- Kubernetes
- Python
- Rust
- Security Engineering
Log in to see which of these are already on your profile.
What they ask for
Required
- Proficiency in at least one programming language (Python, Rust, Go, or Java)
- Productive with Python
- Significant experience building and operating secure, scalable software infrastructure
- Strong cross-functional communication skills
- Ability to prioritize impactful work and operate with ambiguity
- Bachelor's degree or equivalent education and professional experience
Nice to have
- Cloud infrastructure experience (GCP or AWS)
- Kubernetes and networking expertise
- Infrastructure-as-code
- Security engineering experience (identity, auth, access management, sandboxing, red teaming)
- Data warehousing and large-scale storage systems experience
- Compute scheduler and accelerator fleet management
- Developer productivity tooling and observability experience
- Research team tooling experience
- Curiosity about interpretability research and AI safety