About Anthropic

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.

Staff Infrastructure Engineer Node Infra

About the role

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.

Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major CSPs and our own datacenters stand up and scale clusters from thousands to hundreds of thousands of hosts and build the health diagnostics and repair automation that keep every GPU TPU and Trainium node in the fleet usable and ready to power Anthropics frontier AI research.

Key responsibilities

• Own the technical strategy and roadmap for node lifecycle management - ingestion bring-up health checking and automated repair
• Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families
• Design and operate the systems that detect isolate and remediate unhealthy hardware automatically driving up fleet MTBI and minimizing stranded capacity
• Define infrastructure architecture ensuring the hardest problems get solved - whether by you directly or by working through others
• Work closely with cloud providers and internal research/inference/product teams to shape long-term compute data and infrastructure strategy
• Establish and evolve operational excellence practices (incident response postmortem culture on-call)
• Support the growth of engineers around you through technical mentorship and coaching

Minimum qualifications

• 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.
• Hands-on experience with machine learning accelerators (GPUs TPUs or Trainium)
• Track record of leading complex multi-quarter technical initiatives that span multiple teams or systems
• Ability to build alignment across senior stakeholders and communicate effectively at all levels

Preferred qualifications

• 8 years of software engineering experience including time as a technical lead setting direction for a team
• Experience managing large scale compute infrastructure at hyperscale (10K nodes) including capacity management and efficiency
• Depth in one or more of: Kubernetes internals (scheduler autoscaler kubelet Karpenter) cluster orchestration systems (Mesos Borg-like) or node provisioning pipelines
• Low-level systems experience: kernel virtualization device drivers firmware or hardware health/diagnostics daemons
• Familiarity with high-performance networking (EFA RDMA InfiniBand) for distributed ML workloads.
• Demonstrated ownership of production reliability for high-throughput latency-sensitive systems
• Contributions to relevant open-source projects (Kubernetes Linux kernel container runtimes etc.)
• Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems

Logistics

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.

How were different

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.

Come work with us!

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 policyfor using AI in our application process