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Modeling And Simulation Jobs in New York (NOW HIRING)

Aaru

Simulation Engineer

New York, NY · On-site

$250K - $800K/yr

Researchers prove out how to synthesize an audience, model a world, predict responses, score ... Productionize the core simulation loop - audience generation, world modeling, response prediction.

Aaru

Head of Simulation Engineering

New York, NY · On-site

$450K - $750K/yr

Early on, you will design systems, write and review code, debug model behavior, and expand the team of simulation engineers. As it expands, you will move to building the organization out, hiring ...

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. • ...

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.

Doppel Inc

Software Engineer, Simulation

New York, NY · On-site

$135K - $300K/yr

We're creating AI-powered phishing simulations that use large-language models and voice synthesis to mimic real-world threats - from hyper-personalized emails to high-fidelity "manager calls" that ...

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All JobsModeling And Simulation JobsModeling And Simulation Jobs in New York

Modeling And Simulation information

See New York salary details

$42.7K

$110.8K

$157.5K

How much do modeling and simulation jobs pay per year?

As of Aug 9, 2026, the average yearly pay for modeling and simulation in New York is $110,777.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $141,700.00 per year, depending on experience, location, and employer.

What is the difference between Modeling And Simulation vs Data Analyst?

AspectModeling And SimulationData Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; often certifications in simulation softwareBachelor's in statistics, mathematics, or related fields; certifications in data analysis tools
Work EnvironmentResearch labs, engineering firms, government agenciesBusiness, finance, healthcare, or tech companies
Industry UsageEngineering, defense, aerospace, manufacturingFinance, marketing, healthcare, technology
Common Search & ComparisonModeling And Simulation vs Data Analyst

While both roles involve data and technical skills, Modeling And Simulation focuses on creating models to predict and analyze systems, often in engineering or scientific contexts. Data Analysts interpret data to inform business decisions. The roles share skills but differ in application and industry focus.

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

To thrive as a Modeling and Simulation Specialist, you need strong analytical abilities, proficiency in mathematics, and a background in computer science or engineering, often supported by a relevant degree. Expertise with simulation software (such as MATLAB, Simulink, or Arena), programming languages (like Python or C++), and knowledge of modeling standards is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate models, effective simulations, and actionable insights that drive decision-making in complex systems.

What are some common challenges faced by professionals in modeling and simulation roles, and how can they be addressed?

Professionals in Modeling and Simulation often encounter challenges such as integrating complex data from multiple sources, ensuring model accuracy, and communicating technical results to non-technical stakeholders. Addressing these challenges typically involves close collaboration with subject matter experts, ongoing model validation and verification, and using clear visualizations to explain insights. Building strong interdisciplinary communication skills and staying current with evolving simulation tools can also help professionals effectively navigate these challenges.

What is a modeling and simulation job?

Modeling and simulation jobs involve creating digital or mathematical models to represent real-world systems, processes, or phenomena, and then using simulations to analyze their behavior under various scenarios. Professionals in this field use specialized software and computational techniques to predict outcomes, optimize designs, and inform decision-making in industries like engineering, defense, healthcare, and manufacturing. These roles often require strong analytical skills, proficiency in programming, and a background in mathematics or science. Modeling and simulation experts help organizations save time and resources by testing ideas virtually before applying them in real life.
What are popular job titles related to Modeling And Simulation jobs in New York? For Modeling And Simulation jobs in New York, the most frequently searched job titles are:
What job categories do people searching Modeling And Simulation jobs in New York look for? The top searched job categories for Modeling And Simulation jobs in New York are:
What cities in New York are hiring for Modeling And Simulation jobs? Cities in New York with the most Modeling And Simulation job openings:
Modeling And Simulation jobs near you
Infographic showing various Modeling And Simulation job openings in New York as of July 2026, with employment types broken down into 70% Full Time, 11% Part Time, and 19% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $110,777 per year, or $53.3 per hour.

Research Scientist - Quantum & AI Photonic Chip Simulation

Quantum Computing Inc.

Hoboken, NJ • On-site

Full-time

Re-posted 2 days ago

Job description

Location: Hoboken, NJ
Department: Tomorrow
Reports to: Ting Bu
Position Overview
The Research Scientist will work on the modeling, simulation, and architectural development of
quantum and artificial intelligence (AI) computational structures intended for chip-scale
implementation. This role focuses on translating advanced quantum and AI concepts into
physically realistic, simulation-validated device and system designs suitable for fabrication. It
concentrates on high-fidelity simulation, feasibility analysis, and performance optimization under
practical fabrication constraints. The role serves as a technical bridge between the research
team developing novel quantum/AI architectures and the chip fabrication team responsible for
implementation, ensuring that proposed designs are physically realizable, scalable, and
performance-optimized prior to tape-out.
Duties and Responsibilities
• Develop and simulate quantum and AI-based photonic architectures for on-chip
implementation.
• Translate high-level computational concepts into device-level and system-level
simulation models.
• Perform rigorous electromagnetic and multiphysics simulations to evaluate optical,
nonlinear, and quantum effects.
• Model and simulate quantum photonic circuits and quantum gates under realistic device
conditions.
• Analyze fabrication tolerances and material constraints to assess design robustness.
Optimize photonic device structures for performance, scalability, and manufacturability.
• Collaborate closely with fabrication and packaging teams to ensure simulation models
align with process capabilities.
• Support post-fabrication validation by correlating experimental results with simulation
predictions.
• Document modeling methodologies, simulation results, and architectural trade-offs for
internal and external reporting.
Required Qualifications
Education
• Ph.D. in Physics, Applied Physics, Electrical Engineering, or a closely related discipline.
Technical Background
• Strong foundation in Photonics, Quantum optics, Nonlinear optics
• Demonstrated experience in simulation of photonic integrated circuits.
• Experience modeling and simulating quantum gates or quantum optical systems.
• Understanding of semiconductor/TFLN and photonic chip fabrication processes sufficient
to incorporate realistic constraints into simulations.
• Familiarity with chip testing and packaging considerations from a modeling perspective.
Software Proficiency
• Lumerical (FDTD, MODE, INTERCONNECT)
• Tidy3D
• COMSOL Multiphysics
• Python
• MATLAB

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