The opportunity
Anthropic's Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models. That includes data pipelines, some of the largest Kubernetes clusters in the world, and the databases, observability, and developer tooling that every other team at Anthropic depends on.
What you'll do
Independently scope and lead complex, multi-month infrastructure projects,: from an ambiguous starting point through to a production system
Make architectural decisions that shape the foundation other engineers and teams build on
Drive alignment on technical direction across teams, working through ambiguous problem spaces
Partner with research and product teams to understand their infrastructure: and compute needs, and turn them into technical designs
Own the reliability, scalability, and security of the systems you build as usage and complexity grow
Set technical strategy and standards for your team's infrastructure
What they're looking for
- + years of software engineering experience, not including internships
- Experience with machine learning infrastructure such as GPUs, TPUs, or: Trainium, and associated networking like NCCL
- Low-level systems experience, such as Linux kernel tuning or eBPF
- Background in security or privacy engineering best practices
- Prior experience as a technical lead or mentor for other engineers
