PhysicsX · Singapore
Senior FEA Engineer
ABOUT US PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of softwar...
ABOUT US
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at
the speed of software.
We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling
high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels
of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of
possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
WHO WE’RE LOOKING FOR
As a Senior FEA Engineer (Delivery), you are a problem solver and a builder, who is passionate about creating practical solutions
that enable customers to make better engineering decisions. You are someone who can grasp and apply advanced engineering concepts
across multiple industries, and you excel at working directly with customers (often directly on-site) to build CAE models that are
integrated into AI-tools that are both useful and used.
We're building our Singapore presence from the ground up. This is a rare opportunity to join at the founding stage of a regional
team, with the autonomy to help define what this team becomes.
You bring deep expertise in structural mechanics, materials science, and multi-physics modelling, with a solid ability to apply
fundamental knowledge to real-world phenomena across a wide range of engineering applications. Highly proficient in at least one
of NASTRAN, ABAQUS or ANSYS Mechanical, adept at automating these tools to create scalable optimisation workflows that drive
impactful results. Experience with open source FEA packages such as CalculiX or FEniCS would be highly advantageous. Proficiency
in parametric CAD modelling (NX or CATIA) and coding in Python, (or the ability to quickly learn programming languages), is an
advantage. Experience with explicit dynamics (LS-DYNA, Abaqus/Explicit) such as crash simulation is highly valued. Background in
coupled simulations such as thermo-mechanical analysis and fluid-structure interaction modelling also is highly desirable.
With 3-5 years of industry experience (post Masters or PhD) in a commercial, non-research environment, you’re ready to hit the
ground running. You’re confident setting up FEA simulations independently, interpreting complex results with depth, and making
informed decisions based on solid engineering judgement.
THIS ROLE
In this role, you’ll work closely with our Data Scientists, Machine Learning Engineers, and customers to understand and define the
engineering challenges we are solving.
You’ll play a crucial role in delivering high-fidelity simulations by:
- Independently building complex structural and 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 through scripting, for
executing advanced design optimization and DoE studies.
- Partner with customers to address their most complex engineering challenges through advanced FEA & AI solutions; communicate
results clearly, recommend actionable next steps, and balance 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. Leveraging data sampling techniques to efficiently capture the design space, reduce computational cost, and
enhance model accuracy.
- Accelerate high-fidelity modelling by using Flux (our cloud platform) and on-premise HPC resources, going beyond smart meshing
and model setup to achieve real performance gains.
- Continuously improving engineering best practices, adapting FEA model setups and outputs to support the development of Deep
Learning surrogates.
- Documenting workflows and results comprehensively via technical reports and process documentation that enable knowledge
transfer and support reproducible engineering methodologies
- Combining project leadership with a strong commitment to mentoring junior colleagues, contributing to a culture of
collaboration, growth, and shared success.
- Traveling globally (North America, Europe, Asia, Oceania) up to 2–3 weeks per quarter to work side-by-side with customers in
building solutions on-site.
As the role evolves, there are exciting opportunities for growth as an Individual Contributor (IC) or a Team Lead (TL), especially
if you’re driven to take ownership of more complex projects and lead the direction of future solutions.
Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll
contribute to this exciting journey!
We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality,
disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally
underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their
university degrees in science and mathematics.
We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies
and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate
form, and will not influence the outcome of your application.
Roll
Senior FEA Engineer
Kategori
Delivery
Plats
Publicerad
26 juni
Sista ansökningsdag
16 augusti