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Entry Level Modeling Simulation Engineer Jobs in New York

Building robust parametric CAD models (NX or CATIA) coupled with simulation pipeline automation ... Partner with customers to address their most complex engineering challenges through advanced FEA ...

Who We're Looking For As an Simulation Engineer - FEA, you will build hands-on experience applying ... Building robust parametric CAD models (NX or CATIA) coupled with simulation pipeline automation ...

They perform simulations to test various parameters like load, stress, thermal expansion, and ... May use computer-aided design (CAD) and computer-aided engineering (CAE) software for modeling and ...

Software Engineer, Simulation

New York, NY ยท On-site

$135K - $300K/yr

We're creating AI-powered phishing simulations that use large-language models and voice synthesis ... We're defining the future of social engineering defense, where trust is protected, and deception ...

Product Engineer

New York, NY ยท On-site

$85K/yr

This role will be responsible for advanced engineering analysis, modeling and simulation and life validation of bearings. The Product Engineer will also support multiple aspects of our engineering ...

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Entry Level Modeling Simulation Engineer information

What is the difference between Entry Level Modeling Simulation Engineer vs Mechanical Design Engineer?

AspectEntry Level Modeling Simulation EngineerMechanical Design Engineer
Required CredentialsBachelor's in Mechanical, Aerospace, or related fields; basic knowledge of simulation softwareBachelor's in Mechanical or Aerospace Engineering; CAD and design software skills
Work EnvironmentResearch labs, engineering teams, simulation software environmentsDesign studios, manufacturing facilities, engineering departments
Employer & Industry UsageAutomotive, aerospace, defense, manufacturing companiesProduct design firms, manufacturing companies, R&D departments

While both roles require a background in mechanical engineering and involve technical skills, the Entry Level Modeling Simulation Engineer focuses on creating and analyzing virtual models using simulation software, whereas the Mechanical Design Engineer emphasizes designing physical components and systems. Both roles are essential in product development but differ in their primary tasks and tools used.

What kinds of projects and collaboration can I expect as an Entry Level Modeling Simulation Engineer?

As an Entry Level Modeling Simulation Engineer, you'll typically work on projects involving the creation, testing, and validation of simulation models for systems or products. You'll collaborate closely with senior engineers, software developers, and sometimes project managers to ensure model accuracy and integration into larger projects. Expect to contribute by running simulations, analyzing data, and preparing reports, while learning industry-standard tools and methodologies. The work environment is often team-oriented, with regular meetings to discuss progress and troubleshoot challenges together.

What is an Entry Level Modeling Simulation Engineer?

An Entry Level Modeling Simulation Engineer is a professional who uses computer models and simulations to analyze, test, and improve systems or products, often in fields like aerospace, automotive, or manufacturing. They typically work with software tools to create virtual representations of real-world processes, enabling companies to predict outcomes and optimize designs before physical prototypes are built. This role is ideal for recent graduates or those new to the industry, providing foundational experience in engineering analysis and problem-solving. Responsibilities may include developing simulation models, validating results, and collaborating with senior engineers and other departments.

What are the key skills and qualifications needed to thrive as an Entry Level Modeling Simulation Engineer, and why are they important?

To thrive as an Entry Level Modeling Simulation Engineer, you need a solid background in mathematics, physics, and computer science, usually supported by a relevant engineering or STEM degree. Familiarity with simulation software (like MATLAB or Simulink), programming languages (such as Python or C++), and version control systems is often required. Strong problem-solving abilities, attention to detail, and effective teamwork help set you apart in this role. These skills ensure accurate model development, effective collaboration, and the ability to solve complex real-world engineering problems.
What are the most commonly searched types of Modeling Simulation Engineer jobs in New York? The most popular types of Modeling Simulation Engineer jobs in New York are:
What are popular job titles related to Entry Level Modeling Simulation Engineer jobs in New York? For Entry Level Modeling Simulation Engineer jobs in New York, the most frequently searched job titles are:

Simulation Engineer - FEA

PhysicsX

New York, NY โ€ข On-site

Full-time

Retirement, PTO

Posted 26 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.