Heat transfer Scientist

Company Description Wafr Technologies Ltd. is addressing the thermal, energy, and sustainability challenges created by GPU‑dense AI data‑centre workloads. The company is building Canada’s first network of boutique, net‑zero AI data centres, focused on significantly reducing energy use and water consumption. Wafr’s capital‑light, proprietary cooling solutions retrofit existing data halls to improve efficiency and performance. The organization is expanding into vertically integrated GPU farms cooled by patent‑pending thermal energy storage technology that can cut cooling energy use by up to 80% and water consumption by up to 95%. Team members join a mission‑driven environment dedicated to sustainable infrastructure for advanced AI applications.

Role Description The Heat Transfer Scientist is a full-time, on-site role based in Vancouver, BC, focused on researching, designing, and optimizing advanced cooling technologies for AI data centres. Day-to-day responsibilities include developing and validating thermal models, conducting laboratory and on-site experiments, and analyzing heat transfer performance for liquid and hybrid cooling systems. The role involves collaborating with mechanical, electrical, and data-centre engineering teams to translate thermal insights into scalable cooling solutions, and supporting prototype design, testing, and iteration. The Heat Transfer Scientist will document findings, prepare technical reports, and contribute to patents and publications while ensuring solutions align with sustainability, safety, and reliability requirements.

Qualifications

• Strong foundation in heat transfer, fluid mechanics, and thermodynamics, with experience applying these principles to cooling systems or thermal management.
• Proficiency in thermal modeling and simulation tools (e.g., CFD, FEA, or equivalent) and data analysis software for interpreting experimental results.
• Hands-on experience designing, building, or testing thermal or liquid-cooling prototypes, including experimental setup, instrumentation, and measurement.
• Knowledge of data-centre or electronics cooling, energy efficiency, and sustainable engineering practices is highly beneficial.
• Ability to work collaboratively in cross-functional teams, communicate complex technical concepts clearly, and document methods and results rigorously.
• Master’s or PhD in Mechanical Engineering, Chemical Engineering, Applied Physics, or a closely related field, or equivalent practical experience.
• Experience contributing to intellectual property (patents) or peer-reviewed publications in thermal sciences or related domains is an asset.
• Commitment to inclusive, safe laboratory and work practices, and openness to learning within a fast-evolving AI infrastructure environment.