Crusoe2 дня назад

Manager, Finance - Data Center Design

13 333–16 250 ₽в месяц · до вычета

РЫНОК

16 333 ₽медиана по профессии

Data Scientist · 213 вакансий с указанной зарплатой

5 000половина предложений: 13 167–22 000120 000

В рынке · выше 30% предложений

Полная занятостьОфис

Обязанности

01Design Optimization: lead trade-off analysis across space, power density, and cost for new data center designs, identifying opportunities to increase compute per rack and per square foot without compromising reliability
02Business Partnership: work directly with Finance, Engineering, and Supply Chain to translate commercial requirements — cost targets, delivery timelines, customer commitments — into concrete design specifications
03Power & Cooling Strategy: partner with electrical and mechanical engineering teams to evaluate power distribution, cooling architecture (air, liquid, immersion), and their impact on achievable rack density
04Cost Modeling: build and maintain models comparing design alternatives on total installed cost and cost per kW, per rack, and per square foot, giving leadership a clear basis for design decisions
05Standardization & Reuse: develop repeatable design standards and reference architectures that can be deployed across sites, reducing engineering rework and accelerating time to build
06Vendor & Technology Evaluation: assess new data center technologies (power delivery, cooling, rack/enclosure systems) for their potential to improve density, cost, or deployment speed
07Cross-Functional Design Reviews: run design review sessions with Engineering, Operations, and business stakeholders to validate that designs meet both technical requirements and commercial targets before they're locked

017+ years of experience in data center design, engineering, or infrastructure planning, with direct exposure to power, cooling, and space optimization trade-offs
02Strong understanding of data center electrical and mechanical systems — power distribution, UPS, cooling architectures (air and liquid), and structural/floor loading considerations
03Demonstrated experience partnering with commercial or business teams to translate cost and timeline constraints into engineering decisions
04Comfort building and using cost models to compare design alternatives quantitatively, not just qualitatively
05Excellent cross-functional communication skills, with the ability to work fluently with both engineers and business stakeholders
06Experience with high-density compute environments (AI/ML, HPC, or GPU-dense infrastructure) strongly preferred
07Bachelor's degree in Mechanical, Electrical, or Structural Engineering, Architecture, or a related field; advanced degree a plus