Description
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 regional data center physical operations including material movement, physical deployment, bring-up, maintenance, and incident response for complex network and high performance compute platforms.
In this role, 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.
Key responsibilities include:
- Defining the Hardware Operations strategy including SLAs, incident management, reporting methods, and approaches for reporting.
- Overseeing third-party delivery and bring-up of network and compute systems from material delivery through QA testing, handover to production, and ongoing operations and maintenance.
- Driving development of tools and processes in support of operations workflows, traceability, and vendor coordination.
- Developing innovative approaches to improve time to market & equipment availability for data center hardware.
- Enabling scale-out of operations through industry best practices optimization of bill of materials, logistics, and physical processes.
- Managing partner relationships and maintaining alignment with Anthropic goals.
To be successful in this role, you will need to have 7+ years of experience in data center operations as a manager, engineer, technical lead or related role. You should be a subject matter expert in operational processes including deployment, maintenance, material movement, and warehousing. You should also be able to demonstrate subject matter expertise common data analytics/dashboarding tools such as PowerBI, Atlassian Analytics, Tableau, or similar.
Preferred qualifications include 10+ years of experience managing operations and logistics for large scale data centers, an understanding of the unique requirements 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, and experience in data center facility infrastructure such as mechanical, electrical, and plumbing systems.
If you are passionate about HPC data centers and enjoy working in complex, fast-paced environments, we welcome you to apply.