Staff+ Infrastructure Engineer, Cluster Infrastructure

Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.

Anthropics Infrastructure organization is foundational to our mission of developing AI systems that are reliable interpretable and steerable. The systems we build determine how quickly we can train new models how reliably we can run safety experiments and how effectively we can scale Claude to millions of users demonstrating that safe reliable infrastructure and frontier capabilities can go hand in hand.

Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth secure-by-default and able to automatically drain and recover in response to failure. As a Staff engineer on this team youll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world.

• Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning updates and decommissioning
• Partner across teams to ensure new compute capacity is ingested on time
• Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity
• Collaborate with security owners to ensure clusters are provisioned secure-by-default
• Define and drive strategy on cluster scalability homogeneity and fault tolerance
• Work closely with cloud providers and internal research inference and product teams to shape long-term compute data and infrastructure strategy
• Establish and evolve operational-excellence practices: incident response postmortem culture and on-call health
• Support the growth of engineers around you through technical mentorship and coaching

• Deep expertise in distributed systems reliability and cloud platforms (e.g. Kubernetes IaC AWS/GCP/Azure)
• Strong proficiency in at least one systems language (e.g. Rust Go or Python) IaC proficiency with Terraform.
• Track record of leading complex multi-quarter technical initiatives spanning multiple teams or systems
• Ability to build alignment across senior stakeholders and communicate effectively at all levels

• 10 years of software engineering experience including time as a technical lead setting direction for a team
• Experience operating large-scale compute infrastructure at hyperscale (100 clusters 10K nodes)
• Depth in one or more of: Kubernetes internals cluster provisioning and management systems cluster orchestration systems (Mesos Borg-like)
• Experience with cloud networking: VPC design and peering Shared VPC/Transit Gateway Cloud Interconnect/Direct Connect Cloud NAT cross-cloud private connectivity BGP and route control edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield)
• Experience with cluster and host networking: CNI (Cilium) eBPF NetworkPolicy multi-NIC sFlow service mesh (Istio/Envoy/Linkerd mTLS)
• Experience with cluster security: pod security standards and admission control RBAC and least-privilege IAM node and container hardening supply-chain/image provenance
• Deep experience with infrastructure-as-code (Terraform Atlantis) workflow orchestration (Temporal Argo Workflows)
• Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems

Minimum education: Bachelors degree or an equivalent combination of education training and/or experience

Required field of study:A field relevant to the role as demonstrated through coursework training or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.

Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policy for using AI in our application process.