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Internship Modeling Simulation Engineer Jobs in New York

Simulation Engineer

New York, NY ยท On-site

$200K - $540K/yr

ABOUT THE ROLE Simulation Engineering owns the path from research idea to production system ... Researchers prove out how to synthesize an audience, model a world, predict responses, score ...

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 ...

Aerodynamic Simulation Engineer

Brooklyn, NY ยท On-site

$110K - $140K/yr

The engineer will create models to inform the design of products sold in mass retail channels. Job Duties: Develop and implement simulation models for airflow in various kitchen appliances.

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 ...

Aerodynamic Simulation Engineer

Brooklyn, NY ยท On-site

$110K - $140K/yr

The engineer will create models to inform the design of products sold in mass retail channels. Job Duties: โ€ข Develop and implement simulation models for airflow in various kitchen appliances. โ€ข ...

Manager Simulation Modeler Engineer A leadership-focused engineering role dedicated to building and ... Develop and maintain modeling standards, templates, and documentation to enable repeatable ...

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 ...

Building robust parametric CAD models (NX or CATIA) coupled with simulation pipeline automation ... Continuously improving engineering best practices, adapting CFD model setups and outputs to support ...

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 ...

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Internship Modeling Simulation Engineer information

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

To thrive as an Internship Modeling Simulation Engineer, you generally need a strong background in mathematics, physics, and engineering principles, along with progress toward a relevant STEM degree. Familiarity with simulation software such as MATLAB, Simulink, or ANSYS, and basic programming skills in languages like Python or C++, are typically required. Attention to detail, problem-solving abilities, and effective teamwork and communication skills make candidates stand out in this role. These competencies are crucial for accurately developing, analyzing, and interpreting simulation models, which directly impact project success and innovation.

What types of projects do Internship Modeling Simulation Engineers typically work on, and how are tasks assigned within the team?

As an Internship Modeling Simulation Engineer, you will often be involved in projects that require developing, testing, and analyzing computational models for systems such as mechanical components, electronic circuits, or fluid dynamics. Tasks are usually assigned based on your academic background and the team's current priorities, allowing you to collaborate closely with senior engineers and other interns. You'll likely assist with running simulations, validating models against real-world data, and presenting findings to the team, providing a hands-on experience in both technical and collaborative work environments.

What is the difference between Internship Modeling Simulation Engineer vs Modeling Simulation Engineer?

AspectInternship Modeling Simulation EngineerModeling Simulation Engineer
CredentialsEnrolled in or recent graduate of relevant degree programsBachelor's or higher in engineering, physics, or related fields
Work EnvironmentInternship programs, entry-level projects, training-focusedFull-time professional roles, project-driven
Employer & Industry UsageInternship positions in aerospace, automotive, defense, etc.Established roles in similar industries
Search & Comparison IntentLearning about entry-level opportunities and trainingUnderstanding professional career paths and responsibilities

The main difference between an Internship Modeling Simulation Engineer and a Modeling Simulation Engineer is experience level and employment status. Internships are typically temporary, training-focused positions for students or recent graduates, while Modeling Simulation Engineers are full-time professionals responsible for developing and analyzing models in their industry. Interns gain foundational skills, whereas full engineers handle complex projects independently.

What does an Internship Modeling Simulation Engineer do?

An Internship Modeling Simulation Engineer assists in developing and analyzing computer models and simulations to predict how systems or products will perform in real-world scenarios. They work under the guidance of senior engineers, helping to design experiments, collect data, and validate simulation results. Typical tasks include using specialized software, troubleshooting issues, and presenting findings to the engineering team. This role provides hands-on experience with industry tools and techniques, making it ideal for students or recent graduates interested in engineering and simulation technologies.
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 job categories do people searching Internship Modeling Simulation Engineer jobs in New York look for? The top searched job categories for Internship Modeling Simulation Engineer jobs in New York are:
What cities in New York are hiring for Internship Modeling Simulation Engineer jobs? Cities in New York with the most Internship Modeling Simulation Engineer job openings:
Infographic showing various Internship Modeling Simulation Engineer job openings in New York as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Simulation Engineer

Aaru

New York, NY โ€ข On-site

$200K - $540K/yr

Full-time

Medical, Dental, Vision

Re-posted 25 days ago


Job description

ABOUT AARU
Aaru operates at the frontier of predictive intelligence, using AI to simulate and predict human behavior at scale. By generating and deploying instances of artificial intelligence that mirror humans, called agents, Aaru simulates entire populations with unprecedented accuracy. Our partners work with us for many reasons: they leverage Aaru to refine strategy in volatile geopolitical climates, cut new product innovation timelines from months to minutes, and deploy marketing campaigns that win in an era where consumers have never been harder to understand. We provide organizations with invaluable foresight, empowering them to anticipate outcomes and proactively make the right decisions at the right time, every time.
We're a small, dedicated, mission-driven team and we intend to stay that way. We believe the best work happens when exceptionally talented people are given ownership, trust and the space to operate without bureaucratic friction. We work with urgency and intellectual honesty and expect new team members to match our velocity. We seek individuals who thrive at the frontier, who push beyond conventional limits, who bring curiosity and conviction in equal measure, and who want their work to have demonstrable impact in the world. If you're energized by the idea of a small team doing things that feel impossible, let's build together.
ABOUT THE ROLE
Simulation Engineering owns the path from research idea to production system. Researchers prove out how to synthesize an audience, model a world, predict responses, score accuracy, or ship a result; you turn those ideas into robust, reusable, fast code - the objects, contracts, evaluations, and workflows that produce the product.
RESPONSIBILITIES
  • Productionize the core simulation loop - audience generation, world modeling, response prediction.
  • Design the reusable abstractions that the product is made of: agent and population objects, simulation contracts and interfaces, evaluation harnesses, etc.
  • Build and own evaluation and accuracy infrastructure.
  • Make simulations fast and cheap enough to run at scale.
  • Partner closely with Simulation Research to harden hybrid LLM + classical architectures.
  • Build the workflows and tooling that let deployment and forward-deployed teams stand up new client simulations.
  • Create the calculation, analysis, and publication layers that turn raw agent output into the decision-ready artifacts customers see.
  • Hold the line on engineering quality across a fast-moving codebase.

YOU MAY BE A FIT IF
  • You have deep expertise in ML and AI, with meaningful prior work using Large Language Models in production systems
  • You've designed and run rigorous ML experiments, moving from hypothesis to evaluation to deployment
  • You have 3+ years of hands-on experience building ML/AI systems (research or applied)
  • You're comfortable working across the full model lifecycle: data collection, training, evaluation, and production integration
  • You have experience working cross-functionally with engineering and product teams to ship ML-powered features
  • You're deeply curious and motivated to push the boundaries of what simulation technology can do
STRONG CANDIDATES MAY ALSO
  • Have publications at top ML venues (NeurIPS, ICML, ICLR, ACL)
  • Have experience building or fine-tuning multi-agent systems
  • Have worked on probabilistic modeling, Bayesian inference, or causal reasoning
  • Have familiarity with our stack or demonstrate the ability to learn unfamiliar technologies quickly
  • Have direct experience with simulation, agent-based modeling, Monte Carlo methods, or other modeling-and-prediction systems.
  • Have experience with hybrid architectures that combine LLMs with classical statistical or ML methods.
  • Have background in a quantitative or data-heavy domains - quant finance, computational social science, ad measurement, forecasting, statistics, or psychometrics.
  • A research sensibility: comfort reading papers, prototyping alongside researchers, and contributing to or co-authoring published work.
LOCATION
This role is based in New York City. Aaru is an in-person company, working 5 days a week in office. Candidates are expected to be located within the New York City metropolitan area or open to relocation.
BENEFITS
At Aaru, we take care of our people. In addition to a competitive base salary and equity participation, we offer comprehensive medical, vision, and dental coverage, visa sponsorship and relocation support, and various other benefits and perks.