You will set the deployment-engineering strategy for cluster build-out , how racks are organized into pods, halls, and sites; how compute, network, power, and cooling systems interface at the rack boundary; and how deployment scope flows cleanly from hardware specification to facility delivery to a running cluster.

This role is focused on deployment engineering, not on datacenter network or systems design , your scope is making sure clusters land cleanly and predictably, not designing the fabrics or facilities themselves.

You will work across hardware, networking, facilities, supply chain, and construction to ensure that every generation of accelerator we deploy lands in a datacenter that is ready for it , on schedule, at full density, and with every piece of required infrastructure accounted for.

You will be the person who sees around corners: anticipating how next-generation rack designs will stress our facilities, where our deployment model will break at scale, and what needs to change now so that the next cluster turn-up is faster and more predictable than the last.

You will operate at the intersection of engineering strategy and execution discipline, partnering with internal research and systems teams, external developers, engineering firms, and OEM partners to deliver cluster capacity at the speed the frontier demands.

Responsibilities:

• Own cluster-level deployment strategy , define how AI compute clusters are organized across the floor, how racks interconnect, and how cluster topology requirements translate into facility and deployment scope across a portfolio of sites.

• Set rack interface standards spanning power, network, mechanical, thermal, and spatial domains, and ensure that every deployment includes the complete set of infrastructure required to bring a cluster online.

• Drive multi-threaded cluster bring-up programs across hardware, networking, power, and cooling , owning plans, dependencies, and critical paths from hardware specification through energization and turn-up.

• Partner with internal engineering teams , research, systems, networking, and hardware , to translate cluster requirements into deployable facility scope, and to derisk onboarding of new hardware platforms well ahead of delivery.

• Lead external partner execution with developers, engineering firms, OEMs, and construction teams, driving technical reviews, deviation management, and handoffs that keep deployments on schedule and within specification.

• Improve cluster turn-up reliability and repeatability , identify systemic gaps in deployment scope, tooling, and partner interfaces, and drive durable fixes that reduce time-to-serve for new capacity.

• Define and track deployment KPIs , cluster readiness, schedule adherence, scope completeness, time-to-first-packet , and use historical trends to forecast risk and inform capacity planning.

• Coordinate cross-functional readiness across supply chain, security, operations, and construction to ship production-ready compute capacity.

• Provide crisp executive visibility on deployment progress, tradeoffs, and risks across a portfolio of concurrent cluster programs.

• Design cluster interfaces for durability , define rack and cluster-level interfaces that remain robust across hardware generations, so that facility scope and deployment models do not need to be reinvented every time the underlying hardware changes.

• Build cluster layout and BOM tooling , create and maintain the tools, templates, and data models that turn cluster topology and rack specifications into accurate floor layouts, deployment sequences, and complete bills of materials, replacing one-off spreadsheets with repeatable, auditable workflows.

You may be a good fit if you:

• Have 10+ years of experience in hyperscale datacenter environments, with senior-level responsibility for cluster deployment, large-scale IT integration, or equivalent infrastructure programs.

• Have delivered AI, HPC, or high-density compute clusters at scale and developed a strong intuition for the constraints that govern cluster deployment , interconnect reach, adjacency, power density, and thermal limits.

• Can operate fluently across the boundary between IT hardware and facility infrastructure, and have set interface standards that held up across multiple hardware generations and sites.

• Have led cross-functional programs with both internal engineering teams and external developers, engineering firms, and OEM partners, and are effective at driving alignment across organizational levels.

• Combine strong systems thinking with execution discipline , comfortable zooming from cluster topology and portfolio strategy down to the specific interface detail that will otherwise become a field issue.

• Communicate clearly with technical and executive audiences, and can distill complex, multi-disciplinary programs into decisions and tradeoffs leadership can act on.

• Thrive in ambiguous, fast-moving environments where the hardware, the scale, and the requirements are all changing simultaneously.

• Hold a Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or equivalent practical experience.

Strong candidates may also:

• Have direct experience deploying leading-edge AI accelerator clusters at hyperscale.

• Have shaped reference designs, deployment standards, or cluster-level playbooks that were adopted across a fleet.

• Have experience working across multiple geographies and understand how regional codes, climate, utility constraints, and supply chains shape cluster-level decisions.

• Have partnered closely with hardware and system providers on long-term platform onboarding and bring-up.

• Have experience building the program mechanisms , roadmaps, milestones, risk registers, runbooks , that make delivery predictable at massive scale.

The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $320,000-$405,000 USD

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This role delivers consistent, scalable, and measurable training outcomes while operating as an operations officer for flight activities.

Responsibilities:

• Lead all aspects of V-BAT training and standardization
• Oversee the internal training team
• Manage training as a program to ensure alignment across operations, engineering, and product
• Deliver consistent, scalable, and measurable training outcomes

Qualifications:

• Experience leading aviation training programs
• Background in military aviation, UAS operations, or equivalent
• Experience managing complex programs with multiple stakeholders, timelines, and deliverables
• Strong understanding of training systems, standardization, and evaluation processes
• Experience in operational planning, scheduling, or operations officer roles
• Ability to translate technical system changes into training requirements
• Strong organisational, communication, and execution skills

Salary:

$140,000 - $210,000 a year

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This role sits at the intersection of Security Engineering, Security Compliance, Infrastructure, Product, Research, Policy, and more. This role demands someone who thrives in ambiguity, makes well-reasoned decisions under pressure, and can translate complex security requirements into executable programs with compressed timelines.

Responsibilities:

• Own end-to-end security program execution for RSP security readiness – Drive security workstreams from requirements interpretation through implementation, coordinating across Security Engineering, Infrastructure, Research, and Compliance teams to ensure we meet RSP commitments on aggressive timelines
• Lead infrastructure security programs – Manage programs like cluster hardening, service boundary enforcement, and security observability that protect our most sensitive assets including model weights and training infrastructure
• Coordinate complex multi-team deployments – Manage security control rollouts and migrations, like endpoint hardening and egress reduction that require careful change management across engineering organisations
• Make real-time technical trade-off decisions – Balance competing constraints between security controls, research velocity, and operational feasibility during fast-moving program cycles
• Build program structure for emerging security domains – Create program charters, establish roles and timelines, develop communication strategies, and define success metrics for nascent security initiatives
• Partner with third-party partners – Manage security aspects of infrastructure partnerships, including contract requirements, relationship management, and security assurance processes
• Lead stakeholder communication and executive reporting – Prepare regular status updates, deliver company-wide communications, lead program reviews, and ensure leadership has visibility into critical security milestones, blockers, and risks

You may be a good fit if you:

• Have experience driving cross-functional projects, building longer-running programs, and interfacing with technical and non-technical stakeholders.
• Have experience executing technical programs that require systems and engineering-level knowledge.
• Have a deep interest in and/or a willingness to learn about cybersecurity or regulatory compliance.
• Have experience leveraging LLMs to automate workflows, improve operational efficiency, and develop novel solutions for complex technical and organisational challenges.
• Have experience reporting on complex programs through data-driven benchmarks, including writing SQL queries.
• Have strong interpersonal skills that enable you to influence without authority, build cross-organisational support, cooperation and action around security initiatives, policies and procedures.
• Have a track record for being able to successfully organise, implement and manage complex programs and projects.
• Are used to working through trade-offs, balancing competing priorities, and having your mind changed.

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. Be cautious of emails from other domains. Legitimate Anthropic recruiters will always have an @anthropic.com email address.

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