This role serves as the primary delivery owner and strategic operational interface for key Stargate programs, ensuring successful execution across construction, datacenter operations, hardware deployment, and partner ecosystems. You will operate across technical infrastructure, delivery execution, and partnership management to ensure infrastructure programs move quickly, efficiently, and reliably from buildout through operational readiness.

This is a people management role requiring strong physical infrastructure experience, delivery leadership through turn-up, and the ability to navigate complex multi-partner environments with urgency and clarity.

Key Responsibilities:

• Own operational delivery for major Stargate infrastructure programs across partner-operated datacenter campuses

• Serve as OpenAI’s primary delivery interface with strategic infrastructure partners

• Coordinate execution across construction, facilities, hardware deployment, and infrastructure operations teams

• Drive operational readiness for large-scale AI compute infrastructure

• Manage day-to-day collaboration with partner operations, construction, and delivery teams

• Ensure alignment between partner execution and OpenAI infrastructure priorities

• Identify and remove blockers impacting datacenter deployment and operational readiness

• Drive resolution of complex operational issues across multiple organizations

• Establish operational rhythms, reporting, and escalation paths for major delivery programs

• Work closely with internal teams including infrastructure engineering, datacenter operations, hardware deployment, networking, and supply chain

• Align technical execution with commercial and operational commitments

• Ensure infrastructure programs meet schedule, reliability, and scale targets

• Balance tactical operational execution with long-term infrastructure strategy

• Develop scalable processes for managing large infrastructure partnerships

Qualifications:

• 12+ years of experience in infrastructure delivery, datacenter operations, or large-scale technical program execution

• Experience managing complex partner relationships in infrastructure, cloud, or hyperscale environments

• Strong understanding of physical infrastructure operations (datacenters, facilities, construction, or network/hardware deployment)

• Experience coordinating cross-functional programs across engineering, operations, and external partners

• Ability to navigate ambiguity and drive outcomes across distributed teams

Preferred Skills:

• Experience with hyperscale datacenter development or operations

• Experience managing infrastructure delivery with major cloud or infrastructure providers

• Background in construction, datacenter campus buildouts, or infrastructure deployment programs

• Strong operational leadership in large-scale mission-critical environments

• Track record of leading complex infrastructure initiatives with significant external partners

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The goal is to build bespoke software to model our infrastructure at both a physical and logical level to drive planning, coordination, automation, of some of the most advanced AI datacenters.

You'll work closely with frontend engineers to bring rich user experiences built on top of your backends, and own how these services are deployed and run in production including scaling, redundancy and monitoring.

Key responsibilities include:

• Designing and building data models and APIs that capture the complexity of datacenter infrastructure
• Creating high-throughput API services in Go (gRPC, GraphQL, and/or REST) that support the data density and interaction speed the frontend demands
• Building the backend architecture from the ground up, including service structure, data access patterns, caching strategy, and API contracts designed to scale with the team and product scope
• Integrating with internal/external systems and data sources that feed infrastructure planning, ensuring the platform reflects real-world state and planned builds accurately
• Deployment and operational infrastructure for the services you build, including Kubernetes manifests, CI/CD pipelines, observability, and reliability practices

Requirements include:

• Strong proficiency in Go
• Deep experience with relational databases, specifically PostgreSQL and CockroachDB
• Experience designing and building APIs (gRPC, GraphQL, and REST) with attention to type safety, pagination, caching, filtering, and error handling
• Proven experience of performance optimization on the backend
• Familiarity with authentication, authorization, and backend security best practices for internal tooling
• Experience owning deployment and operations for the services you build
• Genuine curiosity about (or direct experience with) physical datacenter infrastructure
• Strong data modeling instincts
• Ability to work directly with infrastructure engineers to understand their workflows, identify pain points, and translate messy real-world processes into clean data models and APIs

Nice to have includes direct experience with datacenter operations, infrastructure planning, or familiarity with DCIM tools like NetBox, Infrahub or Sunbird, experience with CockroachDB specifically, experience building systems that handle complex graph-like or hierarchical relational data, exposure to Infrastructure-as-Code, Terraform, or GitOps workflows, and experience with event-driven architectures, change data capture, or audit logging for compliance-sensitive systems.

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core, Act Like an Owner, Empower Employees, Deliver Best-in-Class Client Experiences, and Achieve More Together.

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This is greenfield work: you will help define the processes, tooling, and operational standards that govern how we run and retire hardware at scale.

A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI , training frontier models and serving millions of users interacting with Claude.

Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought.

You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling.

Responsibilities:

• Lead the build-out of automation to support datacenters containing tens of thousands of servers.

• Own and define the end-to-end machine lifecycle strategy , from provisioning and deployment through operation, maintenance, refresh, and decommissioning , and maintain automation and operational procedures for common lifecycle events (e.g. hardware failures, firmware upgrades, fleet rotations).

• Partner closely with Infrastructure Security to design and enforce trusted compute standards across the machine lifecycle.

• Work closely with our Networking team to ensure end-to-end connectivity across all sites.

• Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet.

You May Be a Good Fit If You:

• Have 5+ years of experience in datacenter operations, hardware infrastructure management, or a closely related discipline.

• Have deep, hands-on experience with server hardware , including rack deployment, cabling, troubleshooting, and understanding failure modes at scale.

• Understand hardware lifecycle management end-to-end: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices.

• Have strong proficiency in at least one programming language (e.g., Python, Rust, Go, or Java).

• Are comfortable navigating ambiguity and working independently to drive progress on complex, cross-functional problems.

• Communicate clearly and can build consensus with a wide range of stakeholders.

• Have working knowledge of modern cloud infrastructure, including Kubernetes, Infrastructure as Code, AWS, and GCP.

• Are comfortable with occasional travel to datacenter sites across North America.

Strong Candidates May Also Have:

• Hands-on experience with GPU or AI accelerator hardware (e.g. NVIDIA A100/H100, AMD MI300, Google TPUs, or AWS Trainium) and an understanding of their operational demands.

• Familiarity with modern provisioning tooling such as coreboot, LinuxBoot, or u-root.

• Experience building or contributing to datacenter automation or fleet management platforms.

• Experience building and deploying server operating system distributions across thousands of hosts.

• A background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider.

• Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification , or a strong desire to develop deep expertise in this area.

The annual compensation range for this role is £255,000-£325,000 GBP.

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Anthropic is expanding beyond cloud infrastructure, and this role sits at the heart of that effort. As a Senior Engineer on the Datacenter Machine Lifecycle team, you will own the end-to-end operational journey of every machine in our facility — from initial provisioning and deployment, across its working life, through maintenance and refresh, and all the way to decommissioning. This is greenfield work: you will help define the processes, tooling, and operational standards that govern how we run and retire hardware at scale.

A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI — training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling.

Responsibilities

• Lead the build-out of automation to support datacenters containing tens of thousands of servers.
• Own and define the end-to-end machine lifecycle strategy — from provisioning and deployment through operation, maintenance, refresh, and decommissioning — and maintain automation and operational procedures for common lifecycle events (e.g. hardware failures, firmware upgrades, fleet rotations).
• Partner closely with Infrastructure Security to design and enforce trusted compute standards across the machine lifecycle.
• Work closely with our Networking team to ensure end-to-end connectivity across all sites.
• Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet.

You May Be a Good Fit If You

• Have 5+ years of experience in datacenter operations, hardware infrastructure management, or a closely related discipline.
• Have deep, hands-on experience with server hardware — including rack deployment, cabling, troubleshooting, and understanding failure modes at scale.
• Understand hardware lifecycle management end-to-end: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices.
• Have strong proficiency in at least one programming language (e.g., Python, Rust, Go, or Java).
• Are comfortable navigating ambiguity and working independently to drive progress on complex, cross-functional problems.
• Communicate clearly and can build consensus with a wide range of stakeholders.
• Have working knowledge of modern cloud infrastructure, including Kubernetes, Infrastructure as Code, AWS, and GCP.
• Are comfortable with occasional travel to datacenter sites across North America.

Strong Candidates May Also Have

• Hands-on experience with GPU or AI accelerator hardware (e.g. NVIDIA A100/H100, AMD MI300, Google TPUs, or AWS Trainium) and an understanding of their operational demands.
• Familiarity with modern provisioning tooling such as coreboot, LinuxBoot, or u-root.
• Experience building or contributing to datacenter automation or fleet management platforms.
• Experience building and deploying server operating system distributions across thousands of hosts.
• A background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider.
• Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification — or a strong desire to develop deep expertise in this area.

Logistics

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.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic.

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