Software Engineer, Research Infrastructure (AI)

TL;DR

Software Engineer, Research Infrastructure (AI): Building and scaling the core infrastructure and systems that accelerate AI research with an accent on reliability and scalability. Focus on designing distributed systems, leading complex architectural projects, and optimizing research workflows for large-scale machine learning.

Location: Hybrid: Must be based in San Francisco, CA or New York City, NY (at least 25% office presence required)

Salary: $405,000 - $625,000 USD per year

Company

Anthropic is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems.

What you will do

• Design, build, and scale infrastructure and systems to support rapidly increasing usage and evolving research requirements.
• Independently scope and lead complex, multi-month engineering projects from ambiguous starting points to production.
• Drive cross-organizational alignment on technical direction and architectural decisions that shape research tooling.
• Partner directly with researchers to understand workflows and anticipate future design needs.
• Own the reliability and scalability of critical systems as load and complexity increase.
• Mentor other engineers and help set technical standards and best practices for the team.

Requirements

• Experience designing, building, and operating large-scale distributed systems or infrastructure in production.
• Proven track record of independently scoping and delivering complex, ambiguous technical projects.
• Strong software engineering fundamentals and hands-on coding ability.
• Experience making architectural decisions that other engineers and teams build on top of.
• Strong written and verbal communication skills for driving alignment across multiple stakeholders.
• Bachelor's degree or equivalent combination of education, training, and experience.

Nice to have

• Experience building infrastructure or platforms specifically for research or machine learning workflows.
• Experience with cloud infrastructure and infrastructure-as-code (IaC).
• Ability to operate effectively in a startup or startup-like environment with high autonomy.
• Prior experience as a technical lead or mentor for other engineers.

Culture & Benefits

• Competitive compensation and optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Collaborative office spaces for team interaction.
• Visa sponsorship available (though not guaranteed for every role).