Location requirements
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.
Data Center Hardware Operations Lead
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 the Hardware Operations Lead within the Data Center Infrastructure organization, you will define and manage end-to-end operations across Anthropic’s growing fleet of data center hardware. You will be accountable for all data center physical operations including material movement, physical deployment, bring-up, maintenance, and incident response for complex network and high performance compute platforms. As a subject matter expert in data center infrastructure and operations, you will develop scalable processes for execution, help manage data center partners & vendors, lead deployment schedules and maintain close coordination with related disciplines such as design, engineering, and capacity planning. If you are experienced in operations, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply.
Define the Hardware Operations strategy including SLAs, incident management, reporting methods, and approaches for reporting.
Oversee third-party delivery and bring-up of network and compute systems from material delivery through QA testing, handover to production, and ongoing maintenance.
Drive development of tools in support of operations workflows, traceability, and vendor coordination.
Develop innovative approaches to improve time to market & equipment availability for data center hardware.
Enable scale-out of operations through industry best practices optimization of bill of materials, logistics, and physical processes.
Manage partner relationships and maintain alignment with Anthropic goals.
Have 7+ years of experience in data center operations as a manager, engineer, technical lead or related role.
Can demonstrate a proven track record overseeing a portfolio of mission critical systems.
Are a subject matter expert in operational processes including deployment, maintenance, material movement, and warehousing.
Can demonstrate subject matter expertise common data analytics/dashboarding tools such as PowerBI, Atlassian Analytics, Tableau, or similar.
Are experienced in third-party partner relationship management.
Bachelor's degree in relevant domain or equivalent practical experience.
10+ years of experience managing operations and logistics for large scale data centers.
An understanding of AI/ML workloads, including power, cooling, and network connectivity
Experience in supply chain management including bill of material definition, sourcing, procurement, and vendor onboarding/management.
Experience managing third-party datacenters such as colo operators and/or contract operations staffing vendors.
Experience in data center facility infrastructure such as mechanical, electrical, and plumbing systems.
The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.
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.
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. 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.
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 about our policy for using AI in our application process
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