Редкий шанс проектировать физическую инфраструктуру для передовых ИИ-моделей в одной из ведущих мировых лабораторий с исключительной оплатой и очень четкой миссией.
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Передовой стекВысокая зарплатаТрендовый доменПонятный скоупСильная культура
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Текст:
Hirify AI/Оригинал
TL;DR
Hardware Systems Architect (AI) (interconnect, power, thermal, and accelerator systems): Architecting large-scale compute and networking hardware from system requirements through validation and production deployment with an accent on interconnects, board and rack design, power and cooling, and fleet reliability. Focus on making build, buy, and co-design decisions, developing performance models, and defining bring-up, qualification, and AI-assisted design review workflows.
Location: San Francisco, CA; New York City, NY; or Seattle, WA. Hybrid policy: staff are expected to work from one of the offices at least 25% of the time; some roles may require more office time.
Annual salary: $320,000–$485,000 USD.
Company
Anthropic develops reliable, interpretable, and steerable AI systems as a public benefit corporation.
What you will do
Own system path-finding and architecture for large-scale compute, networking, storage, and accelerator systems from concept and requirements through specification, design review, deployment, and production.
Write high-level system, board, interface, and rack requirements and specifications for internal teams and external partners.
Review vendor and partner designs, make build, buy, and co-design decisions, and identify technical misalignment and schedule risks.
Drive interconnect and networking architecture across scale-up and scale-out fabrics, NICs, switches, optics, and topology.
Architect boards, chassis, racks, and data-hall interfaces, including PCB design, component placement, connectors, cabling, power, and thermal budgets.
Develop performance simulations and hardware models; define bring-up, validation, qualification, telemetry, reliability, and serviceability strategies in collaboration with ML performance, infrastructure software, supply chain, datacenter, vendors, and partners.
Requirements
Deep, hands-on expertise in at least one core hardware-systems domain, such as interconnect, power, or thermal, for large-scale compute or networking systems.
Experience owning hardware system architecture at machine, rack, row, and cluster scale and authoring specifications and requirements.
Experience taking hardware from architecture through bring-up and high-volume production deployment.
Experience working with external hardware vendors and partners, reviewing their designs, and holding them to specifications.
Ability to reason about trade-offs across interconnect, power, thermal, and mechanical domains.
Track record of technical leadership, including owning directional decisions and driving alignment across teams and partners.
Ability to operate with high autonomy and limited process in a fast-moving, ambiguous environment.
Strong written communication for specifications and design reviews used by multiple teams.
Minimum education: bachelor’s degree or equivalent combination of education, training, and/or experience in a field relevant to the role, demonstrated through coursework, training, or professional experience.
Nice to have
8+ years of hardware systems architecture or engineering experience in hyperscale, HPC, AI/ML, or high-end networking platforms.
Experience with AI accelerator systems, including GPU, TPU, or custom ASIC platforms and scale-up or scale-out fabrics.
Familiarity with chip-package-system interfaces and co-design.
Experience establishing a new function, program, or engineering practice.
Curiosity about using AI tools in engineering workflows.
Depth in high-speed SerDes, PCIe/CXL, Ethernet/InfiniBand, optical interconnect, BMC and platform firmware, hardware root of trust, secure boot, 48V/HVDC power delivery, direct liquid cooling, fleet-scale reliability, RAS architecture, signal integrity, or power integrity.
Culture & Benefits
Collaborative work across research, engineering, policy, business, ML performance, infrastructure software, supply chain, datacenter, and hardware partner teams.
Opportunity to develop AI-assisted approaches to hardware design, specification review, validation, and consistency checking.
Flexible working hours, generous vacation and parental leave, competitive benefits, and optional equity donation matching.
Office-based collaboration with frequent research discussions and an emphasis on communication and high-impact work.
Anthropic sponsors visas and makes reasonable efforts to support visa applications with an immigration lawyer, subject to role and candidate eligibility.
Hiring process
Candidate AI usage is governed by Anthropic’s policy for the application process.
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