Anthropic8 дней назад
Hardware Systems Architect
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РЫНОК
14 583 ₽медиана по профессии
Data Scientist · 21 вакансий с указанной зарплатой
7 333половина предложений: 12 500–20 00031 333
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San Francisco
Обязанности
- 01Own system path-finding and architecture for your domain across the breadth of compute Anthropic deploys — from concept and requirements through spec, design review, and deployment
- 02Write and own high-level requirements and specifications — system, board, interface, rack — that partners and internal teams build against
- 03Review partner and vendor designs against our requirements, make the build / buy / co-design calls with supply chain and partnership teams, and surface misalignment or schedule risk early enough to act on it
- 04Drive the interconnect and networking architecture that ties our systems together — scale-up and scale-out fabrics, NICs and switches, optics, and topology
- 05Drive board-, chassis-, and system-level architecture with our partners — major component placement, PCB architecture, connector and cable design, and power and thermal budgeting — at the chassis, rack, and data-hall level
- 06Develop performance simulations, hardware models, and "what-if" scenarios to evaluate and choose between candidate hardware architectures
- 07Define validation, bring-up, and qualification strategy for new platforms — including the telemetry and reliability targets they need to hit in the fleet — and track the technology roadmaps and vendor landscape
- 08Partner with ML performance and infrastructure software teams so hardware decisions land well for the workloads that actually run on them
- 09Help shape how hardware engineering operates at Anthropic — develop and apply AI-assisted approaches to design, spec review, and validation; establish review forums, spec standards, and partner engagement
Требования
- 01Deep, hands-on expertise in at least one core hardware-systems domain (e.g., interconnect, power, thermal) for large-scale compute or networking systems
- 02Experience owning hardware system architecture at scale — machine, rack, row, and cluster — and authoring specifications and requirements
- 03Experience taking hardware from architecture through bring-up and high-volume production deployment
- 04Experience working with external hardware vendors and partners — reviewing their designs and holding them to a specification
- 05Ability to reason about trade-offs across adjacent hardware domains (e.g., interconnect ↔ power ↔ thermal ↔ mechanical) rather than within a single one
- 06Track record of technical leadership — owning directional decisions and their consequences, and driving alignment across teams and partners
- 07Comfort operating with high autonomy and limited process in a fast-moving, ambiguous environment
- 08Strong written communication — you'll write specs and reviews that many teams depend on
- 098+ years in hardware systems architecture or engineering for hyperscale, HPC, AI/ML, or high-end networking platforms
- 10Experience with AI accelerator systems (GPU, TPU, or other custom ASIC platforms) and their scale-up / scale-out fabrics
- 11Familiarity with the chip-package-system interface and co-design
- 12Experience establishing a new function, program, or engineering practice
- 13Comfort working with — and curiosity about pushing — AI tools as part of an engineering workflow
- 14Degree in EE, CE, ME, CS, or a related field, or equivalent experience