Head of Digital Twin Platform

About the role

Firmus Technologies, a global leader in AI infrastructure across Asia Pacific, is looking for a Head of Digital Twin Platform in its Technology division. The role leads the engineering function behind AIFactoryX, Firmus's simulation and optimisation platform and digital twin of every AI Factory. It is systems engineering and platform architecture, not visualisation, and reports directly to the CTO. The incumbent starts with an existing team of CFD and Omniverse engineers and partners and grows it into a multidisciplinary function.

Key responsibilities

• Own the AIFactoryX architecture and roadmap across the physical plant, compute and energy/commercial layers, so one platform can model any site, climate, grid, tariff or NVIDIA platform through versioned configurations.
• Run the engineering pipeline from the design master through a common CAD model into CFD, electrical studies and NVIDIA Omniverse, and keep models aligned with live design.
• Set the fidelity framework for models, including their level of detail, calibration basis, uncertainty and supported decisions.
• Lead calibration against commissioning data and AIFactoryOS telemetry, using physics-ML surrogates where appropriate.
• Use the platform to inform design, site selection and economics, produce a Basis of Design, rehearse management software and failure recovery, plan operational changes and analyse incidents.
• Prove the approach on one site and one Hypercube first, then extend it across the portfolio.
• Manage delivery: weekly rhythm, compute, licences and tools, and the budget, working with IT and AI Infrastructure.
• Own engineering standards (software quality, reproducible results, data lineage, security) and lead the team, vendor and partner relationships.

Required profile

• 12-15+ years in systems engineering, simulation or computational engineering and large-scale software platforms, with a degree in engineering, physics, applied mathematics or a close discipline.
• Experience leading a team that built production simulation or digital twin platforms used for real engineering, operating or investment decisions.
• Strong systems-engineering foundation in requirements, trade studies, verification and validation for complex physical systems such as data centres, power systems, process plants, aerospace or semiconductors.
• Depth in at least one discipline such as thermal and cooling, electrical or compute and network modelling.
• Comfortable reading and reviewing code.

Required skills

• NVIDIA Omniverse and DSX, or industrial digital twins in high-availability environments (highly valued)
• CFD and thermal and cooling modelling
• Electrical and compute and network modelling

The position is based in Singapore or Australia, with travel to AI Factory sites and partner teams as required, and is permanent full-time.