Senior Thermal Engineer (AI)

Location: Based at the Singapore headquarters, with potential international travel to AI Factory sites globally.

Company

hirify.global Technologies develops energy-efficient AI infrastructure, including verticalized AI Factories and a large-scale GPU cloud, using liquid cooling, energy management, water-use optimization, and modular construction.

What you will do

• Lead thermal design and optimization for AI Factory infrastructure and AI systems exceeding 100 kW per rack.
• Design and validate direct-to-chip, immersion, and hybrid liquid cooling architectures.
• Execute large-scale, high-fidelity CFD simulations using ANSYS Fluent on A100 and A400 GPU clusters.
• Develop predictive thermal models and CFD-based digital twins incorporating machine learning capabilities.
• Lead experimental thermal testing, instrumentation, data analysis, and validation campaigns.
• Provide technical leadership to cross-functional engineering teams and advance sustainable cooling solutions that minimize PUE.

Requirements

• Higher-level degree in Mechanical Engineering, Thermal Engineering, or a related field focused on heat transfer and fluid dynamics.
• 8+ years of thermal-management experience in data-center and high-performance-computing applications.
• Deep ANSYS Fluent expertise and experience with complex, large-scale CFD simulations.
• Extensive experience with liquid cooling technologies, including cold plates, heat exchangers, and cooling distribution systems.
• Experience in experimental thermal testing, instrumentation, data analysis, multiphysics simulation, and electronic systems with power densities above 50 W/cm².
• Proficiency in SolidWorks, AutoCAD, MATLAB, and Python, with strong communication and technical presentation skills.

Nice to have

• Strong publication record in peer-reviewed journals and conference presentations.
• Experience developing machine-learning-enhanced predictive thermal models or digital twins.

Culture & Benefits

• Fast-paced work with next-generation technology at the intersection of sustainability and artificial intelligence.
• Close collaboration with founders, the Head of Engineering, the CTO, and engineering leadership.
• Access to a state-of-the-art AI cluster for high-fidelity thermal simulations.
• Permanent full-time employment in a diverse and inclusive workplace.
• Opportunity to contribute to more sustainable and affordable AI infrastructure.

Hiring process

• Submit a detailed CV, CFD simulation portfolio, publication and conference list, and cover letter.
• Explain interest in sustainable AI infrastructure development in the cover letter.