Anthropic’s 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.
As Head of Data Center Infrastructure at Anthropic, you'll drive our data center strategy and infrastructure planning to secure and optimize the compute resources needed to stay at the frontier of AI development. You'll partner with major cloud providers to co-design next-generation data centers, provide expertise on physical infrastructure, and help secure the compute resources needed for frontier AI research and development. This role offers a unique opportunity to shape the future of AI infrastructure while working with some of the largest and most advanced data centers in the world.
Responsibilities:- Lead Anthropic's data center strategy and infrastructure planning, working closely with cloud providers to co-design next-generation facilities
- Provide deep technical expertise on physical infrastructure including power systems, cooling, and construction
- Develop and execute multi-year infrastructure roadmaps to support Anthropic's compute needs
- Drive strategic partnerships with major cloud providers and infrastructure partners
- Collaborate with research and engineering teams to translate technical requirements into infrastructure strategy
- Lead technical decisions around data center design and optimization
- Partner with cloud providers to improve data center designs based on next-generation model requirements
- Have significant experience at a major cloud provider or tech company with large-scale data center operations (preferably from AWS, GCP, Meta, or Microsoft)
- Possess deep technical expertise in physical infrastructure, including power, cooling, and construction
- Have led large-scale data center planning and strategy initiatives
- Excel at strategic partnership management and collaborating with major cloud providers
- Have strong experience in capacity planning for large-scale compute operations
- Can effectively communicate complex technical concepts to diverse stakeholders
- Are passionate about solving infrastructure challenges at the frontier of AI development
- Experience working with AI compute infrastructure
- Background in negotiating large-scale compute deals
- Experience with Project Rainier or similar large-scale data center initiatives
- Track record of leading technical teams or initiatives in infrastructure
- Experience optimizing infrastructure for high-density compute workloads
We encourage you to apply even if you don't believe you meet every qualification. Research shows that people from underrepresented groups are less likely to apply unless they meet all qualifications. We're committed to building a diverse team and believe a broad range of perspectives is crucial for developing safe and beneficial AI systems.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Education requirements: We require at least a Bachelor's 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 aren't 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 you're interested in this work. We think AI systems like the ones we're 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 we're differentWe 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. We're 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.