Architect - AI
3cloud- Full Time
- Expert & Leadership (9+ years)
Candidates should have a minimum of 10 years of experience in data center design and deployment, along with a proven track record of successfully leading and managing complex engineering projects. A deep understanding of data center architecture and best practices is essential, as well as familiarity with the latest technologies in AI computing. Excellent communication, collaboration, and problem-solving skills are required, along with a highly motivated and results-oriented work ethic.
The Senior Manager of Deployment Architecture will collaborate with engineering, construction, and operations teams to define project requirements and develop deployment plans for AI data centers. They will lead a team of engineers in designing and implementing innovative data center architecture solutions, oversee the procurement, installation, and commissioning of data center equipment, and manage project budgets and timelines to ensure successful on-time and on-budget delivery. Additionally, they will identify and mitigate potential risks associated with data center deployments and stay up-to-date on the latest trends and technologies in data center design and construction.
Utilizes wasted energy for computing power
Crusoe Energy Systems Inc. provides digital infrastructure that focuses on using wasted, stranded, or clean energy sources to power high-performance computing and artificial intelligence. The company helps clients in the technology and energy sectors by offering scalable computing solutions that aim to reduce greenhouse gas emissions and support the transition to cleaner energy. Crusoe's approach involves converting excess natural gas and renewable energy into computing power, which allows them to maximize resource efficiency while minimizing environmental impact. Unlike many competitors, Crusoe specifically targets the intersection of energy and technology, generating revenue by supplying computing resources to enterprises that need significant computational power for applications like AI and machine learning, along with providing technical support.