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Modeling And Simulation Engineer Jobs in New York

Aaru

Simulation Engineer

New York, NY · On-site

$200K - $600K/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 ...

SteelStone

Aerodynamic Simulation Engineer

Brooklyn, NY · 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.

Aaru

Simulation Engineering Manager

New York, NY · On-site

$280K - $425K/yr

Researchers may prove a new method for constructing a population, modeling a world, estimating an outcome, or evaluating fidelity. Simulation Engineering turns that method into robust, reusable ...

SteelStone

Aerodynamic Simulation Engineer

Brooklyn, NY · 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. • ...

Hirekeyz Inc

Calculation Engineer

Jersey City, NJ · On-site

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 ...

Doppel Inc

Software Engineer, Simulation

New York, NY · On-site

$135K - $350K/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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Modeling And Simulation Engineer information

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$42.7K

$135K

$208.4K

How much do modeling and simulation engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for modeling and simulation engineer in New York is $135,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $160,300.00 per year, depending on experience, location, and employer.

What is a modeling and simulation engineer?

Modeling and Simulation Engineers are professionals who use mathematical models and computer simulations to analyze complex systems and predict their behavior. They work in various industries, including aerospace, defense, healthcare, and manufacturing, to improve product design, optimize processes, and support decision-making. Their work often involves creating virtual prototypes, running simulations to test different scenarios, and interpreting results to provide insights for engineering projects. These engineers typically have strong backgrounds in mathematics, physics, and computer science.

What are the key skills and qualifications needed to thrive as a modeling and simulation engineer?

To thrive as a Modeling and Simulation Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency with simulation software (such as MATLAB, Simulink, or ANSYS), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex systems into accurate models and collaborating with multidisciplinary teams. These skills are crucial for ensuring the accuracy, reliability, and usability of simulations that inform critical engineering decisions.

What are some common challenges a modeling and simulation engineer faces when integrating new models into existing systems?

A common challenge for Modeling and Simulation Engineers is ensuring that new models are compatible with existing simulation frameworks and data sources. This often involves resolving discrepancies in data formats, model fidelity, and simulation timing, as well as validating that the integrated system produces accurate and reliable results. Collaboration with software developers, data analysts, and subject matter experts is essential to troubleshoot integration issues and maintain system performance. Effective communication and thorough documentation are key to overcoming these integration hurdles.

What is the difference between Modeling And Simulation Engineer vs Systems Engineer?

AspectModeling And Simulation EngineerSystems Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; certifications like INCOSEBachelor's or Master's in Engineering, Systems Engineering, or related fields; certifications like INCOSE
Work EnvironmentDesigning and developing simulation models, testing scenarios in labs or software environmentsIntegrating system components, coordinating across engineering teams, often in project offices
Industry UsageDefense, aerospace, automotive, and manufacturing sectorsDefense, aerospace, IT, and complex system development industries

While both roles require engineering backgrounds and similar certifications, Modeling And Simulation Engineers focus on creating and testing simulation models, whereas Systems Engineers oversee the integration and functionality of entire systems. Both collaborate closely but serve different specialized functions within engineering projects.

Are modeling and simulation engineers in demand?

Modeling and simulation engineers are in high demand across industries such as aerospace, defense, automotive, and healthcare due to their expertise in developing complex models and simulations. The role often requires proficiency in programming, simulation software, and systems analysis, with job growth driven by technological advancements and increased reliance on virtual testing and training tools.

How to become a modeling and simulation engineer?

To become a modeling and simulation engineer, typically a bachelor's degree in engineering, computer science, or a related field is required, often complemented by experience with simulation software, programming languages, and systems modeling. Advanced roles may require a master's degree or higher, along with skills in data analysis, systems engineering, and familiarity with tools like MATLAB, Simulink, or C++. Certifications in systems modeling or simulation can enhance job prospects.

What are popular job titles related to Modeling And Simulation Engineer jobs in New York?

For Modeling And Simulation Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Modeling And Simulation Engineer jobs in New York look for?

The top searched job categories for Modeling And Simulation Engineer jobs in New York are:

What cities in New York are hiring for Modeling And Simulation Engineer jobs?

Cities in New York with the most Modeling And Simulation Engineer job openings:

Modeling And Simulation Engineer jobs near you
Infographic showing various Modeling And Simulation Engineer job openings in New York as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $135,003 per year, or $64.9 per hour.

Simulation Engineer

New York, NY • On-site

Aaru
See more jobs at Aaruexternal

$200K - $600K/yr

Full-time

Medical, Dental, Vision

Re-posted 24 days ago

Key responsibilities

  • Productionize the core simulation loop, including audience generation, world modeling, and response prediction.

  • Design reusable abstractions such as agent and population objects, simulation contracts, interfaces, and evaluation harnesses.

  • Build and own evaluation and accuracy infrastructure to ensure simulation quality and performance.

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 use Aaru to refine strategic positioning, identify and understand high-value audiences, validate concepts and messaging before launch, optimize pricing decisions, and build a continuously richer understanding of their customers through simulation. 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.

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