Senior Electrical Engineer (AI Infrastructure)

Location: Singapore office; travel expected 10–30% of the time, primarily during project delivery phases.

Company

hirify.global Technologies develops and operates sustainable AI infrastructure and large-scale GPU cloud platforms across Asia Pacific.

What you will do

• Develop electrical, controls, and cabling designs and key documentation from concept through commissioning.
• Perform engineering calculations, define system designs, write equipment specifications, and make final equipment selections.
• Qualify, onboard, and manage third-party consultants and contractors.
• Review consultant designs, contractor electrical drawings, and equipment selections.
• Support operations and maintenance documentation, site inspections, and commissioning of electrical and control systems.
• Develop engineering standards, contribute to R&D, and optimize designs for sustainable AI Factory developments.

Requirements

• Bachelor’s degree in electrical engineering.
• 8+ years of experience, including at least 3 years of Data Centre MEP experience.
• Strong knowledge of electrical principles across direct current, low-voltage AC, and medium-voltage AC systems, including applicable local and international standards.
• Strong analytical, problem-solving, collaboration, organization, and documentation skills.
• Ability to develop effective and innovative technical solutions for ambiguous problems and ensure accuracy in design and testing.
• Strong written and verbal communication skills, including the ability to explain technical information to non-technical stakeholders.
• Demonstrated experience working in cross-functional, multicultural teams.
• Willingness to learn, contribute proactively, adapt to changing project requirements, and take on new responsibilities.

Nice to have

• Familiarity with the Asia Pacific region and local data centre standards and norms.

Culture & Benefits

• Permanent full-time employment based in the Singapore office.
• Founder-led environment with accessible leadership, fast decisions, and minimal bureaucracy.
• Early ownership and direct involvement in long-term, large-scale AI infrastructure projects.
• Opportunity to work with founders and experts in AI infrastructure, energy systems, and next-generation compute.
• Inclusive workplace encouraging applications from candidates of all backgrounds.