Engineering Manager, Systems

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.

About the role

Anthropics Infrastructure organization is the engine that powers our mission to develop AI systems that are safe beneficial and understandable. Every breakthrough in AI safety research and every interaction users have with Claude depends on the systems we build and operate: massive clusters for training production infrastructure serving millions of users reliably and developer platforms that help engineers move fast without breaking things. This isnt typical infrastructure work. Were building at the frontier of whats possible solving novel scaling challenges that few organizations face with a high degree of security all in service of ensuring transformative AI benefits humanity. If youre energized by your technical work directly enabling some of the most important research happening today Infrastructure at Anthropic is the best place to make a real difference.

The Systems engineering team enables Anthropic to rapidly research and deploy safe frontier models at scale by owning compute uptime and resilience. We build resilience into Anthropics infrastructure and support rapid scaling of our clusters with frontier hardware through relentless automation. This allows Anthropics research to remain on the frontier of whats possible and makes research breakthroughs safely and reliably deployable to customers.

We are seeking an experienced engineering leader to manage the part of our Systems team that looks after our Kubernetes control plane and custom schedulers. Youll lead initiatives supporting some of the largest most sophisticated clusters in the industry used to train research and ultimately serve AI models. Your work will be crucial in ensuring Anthropic can continue reliably and safely training frontier models.

Responsibilities

• Manage a team of engineers building and operating world-class infrastructure at scale

• Lead build out of industry-leading AI clusters (thousands to hundreds of thousands of machines) partnering closely with cloud service providers on cluster build out and required features

• Consult with different stakeholders to deeply understand infrastructure and compute needs identifying potential solutions to support frontier research and product development

• Set technical strategy and oversee development of high-scale reliable infrastructure systems

• Hire and coach top technical talent

• Design processes (e.g. postmortem review incident response on-call rotations) that help the team operate effectively and never fail the same way twice

• Drive continuous improvement in system reliability scalability and security

• Work closely with Research and Product Engineering teams to ensure infrastructure meets their evolving needs

You may be a good fit if you

• Have 3 years of experience managing technical teams of more than 6 people

• Have strong leadership ability with experience managing and growing senior engineers

• Have excellent communication skills to build consensus with stakeholders both internally and externally

• Possess deep knowledge of modern cloud infrastructure including Kubernetes Infrastructure as Code and major cloud providers (AWS GCP)

• Are passionate about infrastructure reliability scalability security and continuous improvement

• Have a track record of supporting internal partners and understanding their needs

Strong candidates may also have experience with

• Machine learning infrastructure including accelerators (GPUs TPUs Trainium) and supporting networking infrastructure like NCCL

• Container orchestration platforms such as EKS and GKE

• Working on teams that contribute to OSS Kubernetes and other CNCF tools

• Infrastructure as Code tools like Terraform

• Autoscaling technologies including Cluster Autoscaler and Karpenter

• Low-level systems experience for example Linux kernel tuning and eBPF

• Security and privacy best practice expertise

• Managing initiatives across multiple products and teams

Logistics

Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

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.

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