Simulation Engineer - Thermal Process

Location: Singapore; customer work is often performed directly on-site.

Company

hirify.global is a physics AI company building simulation software for industrial engineering and manufacturing, partnering with organisations in aerospace and defence, automotive, semiconductors, materials, and energy and renewables.

What you will do

• Build CAE models that integrate with AI tools and help customers make engineering decisions.
• Develop thermal and heat-transfer simulations covering conduction, convection, radiation, transient behaviour, and temperature-dependent material properties.
• Couple thermal, chemical, fluid, diffusion, and electrostatic phenomena in engineering models.
• Design instrumentation, test rigs, sensors, and in-situ measurements to generate validation data for processes without existing simulation capability.
• Work hands-on with manufacturing plants, industrial engineering processes, repair operations, and customer process owners.
• Communicate results clearly and balance accuracy with efficiency under commercial deadlines.

Requirements

• Senior-level simulation engineering experience with deep expertise in metallurgical, chemical, heat-transfer, and multiphase modelling.
• Deep proficiency in thermal and heat-transfer simulation using Abaqus, ANSYS Mechanical/Fluent, COMSOL, or equivalent.
• Strong understanding of numerical methods and solver fundamentals, including discretisation, convergence, stability, mesh sensitivity, and diagnosis of non-physical results.
• Proficiency in at least one of Abaqus or ANSYS Mechanical/Fluent and ability to automate these tools for scalable optimisation workflows.
• Experience with parametric CAD modelling using NX, FreeCAD, or CATIA.
• Coding experience in Python or Java, or the ability to quickly learn programming languages.
• Industrial, line-side, or manufacturing process experience in a commercial, non-research environment, including hands-on shop-floor experience.
• Ability to set up simulations independently, interpret complex results, and make decisions based on engineering judgement.
• Understanding of qualified-process and regulatory constraints, including optimisation within qualified parameter windows versus changes requiring requalification.

Culture & Benefits

• Work alongside Data Scientists and Machine Learning Engineers on practical industrial engineering challenges.
• Customer-facing delivery across complex engineering applications and industries.
• Commitment to diversity and equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation, or gender identity.
• Diversity and inclusion data is collected confidentially for monitoring equal-opportunity policies and legal compliance and does not affect application outcomes.
• hirify.global sponsors women from disadvantaged backgrounds through university degrees in science and mathematics.