About the Role
PhysicsX is seeking a Simulation Engineer - FEA to apply finite element analysis to real-world engineering challenges. This role involves building CAE models integrated into AI-tools, working directly with customers, and applying expertise in structural mechanics and materials science.
Responsibilities
- Assist in 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.
- Build 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.
- Work at the intersection of CAE and Data Science to generate high-quality simulation datasets for training Machine/Deep Learning models.
- Leverage 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.
- Document work through clear technical reports and process notes, contributing to the team's shared knowledge base.
- Travel domestically and globally (North America, Europe, Asia, Oceania) up to 3-4 weeks per quarter to work side-by-side with customers in building solutions on-site.
Requirements
- Proficiency in at least one of NASTRAN, ABAQUS or ANSYS Mechanical.
- Proficiency in parametric CAD modelling (NX or CATIA) is an advantage.
- Ability to quickly learn programming languages is an advantage.
- 1-2 years of industry experience (post Masters or PhD) in a commercial, non-research environment.
- Confident setting up FEA simulations independently.
- Ability to interpret complex results with depth.
- Ability to make informed decisions based on solid engineering judgement.
- Familiarity with turbomachinery analysis, gas turbine, or aircraft structural sizing is a natural fit.
- Background in composite materials analysis alongside some exposure to damage tolerance and fracture mechanics, would be a strong fit.
- This position is open to US citizens only due to the nature of our aerospace and defense work.
Skills
- Finite Element Analysis (FEA)
- Structural mechanics
- Materials science
- NASTRAN
- ABAQUS
- ANSYS Mechanical
- Python
- Parametric CAD modelling
- NX
- CATIA
- Explicit dynamics
- LS-DYNA
- Abaqus/Explicit
- Multidisciplinary optimization (MDO)
- Composite materials analysis
- Damage tolerance
- Fracture mechanics
- CAE
- Data Science
- Machine Learning
- Deep Learning
Location
- New York
Work Type
- Hybrid
- Full-time
Experience Level
- 1-2 years industry experience (post Masters or PhD)
Education Level
- Masters or PhD
Salary/Compensations
- $138,000 to $217,000
Benefits
- Equity options
- 5% contribution to 401(k)
- Free team lunch 1x/week
- Private health insurance
- Enhanced parental leave (3 months full pay paternity, 6 months full pay maternity)
- 20 days of Annual Leave (+ Public Holidays)
- Personal development support
- Gympass / Wellhub (subsidized) for employee and up to 3 family members
- Flexible Spending Account (FSA)
About the Company
- 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.
- 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.
Equal Opportunity
- 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.
