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Composite Simulation Engineer Jobs (NOW HIRING)

We are building an AI-driven simulation software stack for engineering and manufacturing across ... In addition, background in composite materials analysis alongside some exposure to damage tolerance ...

Who We're Looking For As an Simulation Engineer - FEA, you will build hands-on experience applying ... In addition, background in composite materials analysis alongside some exposure to damage tolerance ...

Composite Engineer

Mooresville, NC ยท On-site

$85K - $112K/yr

Perform structural calculations, FEA, and simulations to ensure the integrity and safety of ... Review and provide engineering input for composite repair procedures. * Stay current with emerging ...

Utilize test data and modeling and simulation tools to predict and measure high temperature ... Apply structural engineering best practices to existing applications and new developments including ...

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Composite Simulation Engineer information

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$65K

$103.6K

$134K

How much do composite simulation engineer jobs pay per year?

As of Jun 6, 2026, the average yearly pay for composite simulation engineer in the United States is $103,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What are Composite Simulation Engineers?

Composite Simulation Engineers are specialists who use advanced computer modeling and simulation tools to predict the behavior, strength, and failure modes of composite materials and structures. They play a vital role in industries like aerospace, automotive, and renewable energy, where lightweight and high-strength materials are essential. Their work helps ensure that composite products are safe, reliable, and meet performance standards before physical prototypes are built. They often collaborate with design and manufacturing teams to optimize material usage and reduce costs.

What is the difference between Composite Simulation Engineer vs Finite Element Analyst?

AspectComposite Simulation EngineerFinite Element Analyst
Required CredentialsBachelor's or Master's in Mechanical, Aerospace, or Civil Engineering; certifications in simulation softwareBachelor's or Master's in Mechanical, Civil, or Aerospace Engineering; certifications in FEA tools
Work EnvironmentDesign labs, simulation software environments, aerospace and automotive industriesEngineering firms, research labs, manufacturing sectors
Industry UsagePrimarily in aerospace, automotive, and composite material industriesBroadly used across engineering sectors for structural analysis

The Composite Simulation Engineer specializes in modeling and analyzing composite materials and structures, often using advanced simulation tools specific to composites. In contrast, a Finite Element Analyst performs structural analysis across various materials and components, including metals and plastics. While both roles require similar technical skills and certifications, the Composite Simulation Engineer focuses more on composite-specific properties and applications, making their roles distinct yet overlapping in simulation expertise.

What are the key skills and qualifications needed to thrive as a Composite Simulation Engineer, and why are they important?

To thrive as a Composite Simulation Engineer, you need a solid background in mechanical or aerospace engineering, with expertise in composite materials and finite element analysis (FEA). Proficiency with simulation software such as ANSYS, Abaqus, or HyperMesh, and familiarity with CAD tools and material modeling are typically required. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities help distinguish top performers in this role. These skills are essential for accurately predicting composite behavior, optimizing designs, and ensuring the reliability and performance of advanced engineering structures.

What are some of the typical challenges faced by a Composite Simulation Engineer when validating simulation results against physical test data?

Composite Simulation Engineers often encounter challenges such as accurately modeling complex material behaviors, including anisotropy and nonlinearity, which can cause discrepancies between simulation and test results. Variations in manufacturing processes and material properties can also lead to differences that are difficult to predict. Overcoming these challenges requires close collaboration with test engineers, iterative refinement of simulation models, and a strong understanding of both theoretical and practical aspects of composite materials. Continuous learning and adaptation are key to improving the fidelity of simulations and ensuring reliable product performance.

Simulation Engineer - FEA

PhysicsX

New York, NY โ€ข On-site

Full-time

Retirement, PTO

Posted 16 days ago


Job description

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.
Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.
Who We're Looking For
As an Simulation Engineer - FEA, you will build hands-on experience applying finite element analysis to real-world engineering challenges across multiple industries including aerospace and defense. 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.
You bring expertise in structural mechanics, and materials science 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. Exposure to open-source FEA tools (CalculiX, FEniCS), or explicit dynamics (LS-DYNA, Abaqus/Explicit) is a plus. Proficiency in parametric CAD modelling (NX or CATIA) and coding in Python, (or the ability to quickly learn programming languages), is an advantage.
With 1-2 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. Familiarity with turbomachinery analysis, gas turbine, or aircraft structural sizing is a natural fit for this role. Experience with multidisciplinary optimization (MDO) is a bonus, though not essential at this level. In addition, background in composite materials analysis alongside some exposure to damage tolerance and fracture mechanics, would be a strong fit as well.
Note: Due to the nature of our aerospace and defense work, this position is open to US citizens only.
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:
  • 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.
  • 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
  • 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.
  • Document your work through clear technical reports and process notes, contributing to the team's shared knowledge base.
  • Traveling 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.
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!
What we offer
Build what actually matters
Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.
Learn alongside exceptional people
Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home.
Influence over hierarchy
We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected.
Sustainable pace, long-term ambition
Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our New York office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.
And it doesn't stop there ...
Equity options - share meaningfully in the company you're helping to build.
5% contribution to 401(k) - build long-term security with a strong retirement plan.
Free team lunch 1x/week - good food, great company, and space to connect.
Private health insurance - comprehensive cover for you, offering total peace of mind.
Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.
20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.
Personal development - dedicated support for learning, development, and leveling up over time.
Gympass / Wellhub (subsidized) - for you and up to 3 family members, supporting both physical and mental wellbeing.
Flexible Spending Account (FSA) - set aside pre-tax dollars for eligible healthcare expenses.
Watch this space, we're continuing to build this as we grow...
Salary for this position is from $138,000 to $217,000
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.