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Principal CFD Engineer

PhysicsX· Delivery
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Hybrid (Singapore)Full-timePosted 9mo ago

About the role

Principal CFD Engineer (Delivery) focused on building and delivering high-fidelity CFD/CAES solutions, integrating simulation with AI tools, and mentoring junior staff. The role involves on-site customer engagement, multi-physics modeling, CAD-based parametric design, automation, and collaboration with data science teams, with travel and potential progression to IC or TL.

Responsibilities

  • Independently building complex multi-physics models from geometry clean-up and meshing to simulating and post-processing complex real-world phenomena, integrating experimental data for model validation.
  • Building robust parametric CAD models (NX or CATIA) coupled with simulation pipeline automation for advanced design optimization and DoE studies.
  • Partnering with customers to address engineering challenges through advanced CAE & AI solutions; presenting results, recommending actionable next steps, balancing accuracy with efficiency under tight deadlines.
  • Working at the intersection of CAE and Data Science to generate high-quality simulation datasets for training Machine/Deep Learning models; employing data sampling techniques to optimize design space exploration and model accuracy.
  • Accelerating high-fidelity modelling by using Flux (cloud platform) and on-premise HPC resources to achieve real performance gains.
  • Continuously improving engineering best practices, adapting CFD model setups and outputs to support the development of Deep Learning surrogates.
  • Combining project leadership with mentoring junior colleagues to foster collaboration and growth.
  • Travel globally (North America, Europe, Asia, Oceania) up to 2–3 weeks per quarter to work on-site with customers.
  • As the role evolves, opportunities for growth as an Individual Contributor (IC) or Team Lead (TL).

Qualifications

  • 5-7 years of industry experience (post Masters or PhD) in a commercial, non-research environment.
  • Deep expertise in fluid mechanics, heat transfer, and multiphase modelling.
  • Proficiency in Star-CCM+, OpenFOAM, or Fluent; ability to automate these tools to create scalable optimisation workflows.
  • Experience in parametric CAD modelling (NX or CATIA).
  • Coding in Python/Java, or ability to quickly learn programming languages.

Skills

Required:CFD/Multiphysics modellingParametric CAD modellingAutomation of simulation workflows
Nice to have:Python/Java programmingData science collaboration

Benefits

  • Not specified in the job description
Last updated Sep 23, 2026. Interested? Apply on the company site.

About PhysicsX

Accelerating Industrial Innovation with AI

PhysicsX is deploying AI to transform how physical systems are engineered, embedding intelligence across the entire product lifecycle, from concepting and design to manufacturing and operations.

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