Architectural Designer (AI Infrastructure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Architectural Designer (AI Infrastructure): Leading the strategic planning, design, and execution of facilities and infrastructure solutions for AI data centers with an accent on scalability, efficiency, and reliability. Focus on designing high-performance computing facilities, coordinating multi-disciplinary engineering teams, and ensuring compliance with local building codes.
Location: Memphis, TN
Company
is dedicated to creating AI systems that accurately understand the universe to aid humanity in its pursuit of knowledge.
What you will do
- Lead the planning, design, and construction of advanced AI infrastructure and high-performance computing facilities.
- Collaborate with civil, structural, MEP, and fire protection disciplines to develop integrated, scalable solutions.
- Create Basis of Design documents and RFQ packages for external consultants and vendors.
- Conduct site visits and assessments to incorporate existing site conditions and risk mitigation strategies.
- Ensure compliance with local building codes, zoning, and environmental standards.
- Manage external partners, including architects and builders, to ensure design excellence and cost-effective procurement.
Requirements
- Bachelor's degree in Architecture from an accredited institution.
- Active Architectural licensure; NCARB certification strongly preferred.
- 2+ years of experience in architectural design and project management within data center development.
- Proven track record leading multi-disciplinary projects in fast-scaling organizations.
- Location: Must be based in or able to work in Memphis, TN.
Nice to have
- Expertise in supercomputer deployments or AI-optimized data centers.
- Proficiency in AutoCAD, Revit, SketchUp, Jira, Bluebeam, and Adobe Creative Suite.
- Experience delivering flagship projects for leading tech companies.
- Background in global portfolio management and lease scenario planning.
Culture & Benefits
- Flat organizational structure emphasizing direct contribution to the company mission.
- Environment driven by curiosity, engineering excellence, and high motivation.
- Opportunity to solve complex challenges in AI infrastructure.
- Emphasis on hands-on involvement, initiative, and strong prioritization skills.
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