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Modeling And Simulation Engineer Jobs in New York

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 ...

Implement simulation models for Meta's Accelerator ASICs, develop and analyze various scenarios to ... Collaborate with architects and engineers to integrate simulation results into system design ...

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 ...

Review AI-generated engineering solutions for technical accuracy. Required Skills * Aerodynamics * Fluid Mechanics & CFD * Python * Computational Modeling & Simulation * Mesh & Solver Configuration

Senior Corrosion Modeler Developer Join Our Innovative Team: At OLI, we're transforming the future ... We're seeking a Specialist in Corrosion Modeling/Simulation. As a member of our Research and ...

Mechanical Engineer

Fairfield, NJ · On-site

$90K - $100K/yr

Develop machine drawings, 3D modeling, assembly and detail drawings. * Manage projects from concept ... Simulation Engineer, or related engineering role focused on mechanical design * 3 yrs. Exp. with ...

Mechanical Engineer

Fairfield, NJ · On-site

$90K - $100K/yr

Develop machine drawings, 3D modeling, assembly and detail drawings. Manage projects from concept ... Simulation Engineer, or related engineering role focused on mechanical design * 3 yrs. Exp. with ...

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Modeling And Simulation Engineer information

See New York salary details

$42.7K

$135K

$208.4K

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

As of Sep 14, 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:

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.

MEMBER OF TECHNICAL STAFF - SIMULATION ARCHITECTURE & PHYSICAL AI Isaac Sim | Isaac Lab | Omniverse

Manhattan, NY • On-site

Other

Posted yesterday

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Job description

MEMBER OF TECHNICAL STAFF – SIMULATION ARCHITECTURE & PHYSICAL AI New York City | On-site $180,000–$300,000 + Equity

Physical AI will be built in simulation before it is deployed in the real world.

We're partnering with a venture-backed startup building simulation, validation, and digital twin technology for the next generation of robotics and autonomous systems.

The company is developing tools that enable robotics teams to design, validate, train, and deploy intelligent systems faster, safer, and at significantly lower cost.

As one of the earliest technical hires, you'll have the opportunity to shape both the platform and the future direction of the business.

THIS IS CLOSER TO A SIMULATION ARCHITECT THAN A TRADITIONAL SIMULATION ENGINEER

We're looking for a Member of Technical Staff capable of operating as a technical authority in a customer-facing environment, helping define simulation strategy, digital twin architecture, validation workflows, and sim-to-real deployment for next-generation robotic systems.

This role extends far beyond implementation. You'll influence platform design, customer delivery, technical direction, and long-term product strategy.

WHAT SUCCESS LOOKS LIKE
  • Build digital twins of complex robotic systems.
  • Design simulation workflows customers rely on before hardware deployment.
  • Model sensors, environments, and robot behaviour at high fidelity.
  • Help define how Physical AI systems are trained, validated, and deployed.
  • Work directly with customers to solve difficult robotics and autonomy challenges.
THE PROFILES THAT TEND TO DO WELL HERE
  • Built simulation infrastructure, not just simulation scenarios.
  • Owned digital twin, validation, sensor modelling, or sim-to-real initiatives.
  • Worked across both simulation and real robotic systems.
  • Influenced technical direction beyond individual implementation.
  • Enjoy solving ambiguous customer problems from first principles.
  • Deep hands-on experience with NVIDIA Isaac Sim strongly preferred.

Examples of relevant backgrounds include robotics, autonomy, simulation, perception, digital twins, synthetic data, localization, mapping, sensor fusion, and validation systems.

THE ROLE

You’ll work directly with engineers, customers, and leadership teams to solve complex challenges spanning simulation architecture, localization, mapping, sensor fusion, synthetic data generation, perception, robotics systems, and Physical AI.

KEY RESPONSIBILITIES
  • Design, build, and scale high-fidelity robotics simulation environments.
  • Develop digital twins and validation frameworks for real-world robotic systems.
  • Own simulation workflows from concept through deployment and customer delivery.
  • Build simulation infrastructure using NVIDIA Isaac Sim, Isaac Lab, Omniverse, OpenUSD, and PhysX.
  • Drive sim-to-real initiatives through system identification, sensor calibration, validation, and domain randomization.
  • Partner directly with customers to understand robotic systems and translate requirements into scalable simulation solutions.
  • Influence core platform architecture and foundational technical decisions.
  • Help define the future of simulation and validation for robotics and autonomous systems.
WHAT WE'RE LOOKING FOR
  • Staff-level technical capability within robotics simulation, autonomy, perception, localization, mapping, sensor fusion, or Physical AI.
  • Deep hands-on experience with NVIDIA Isaac Sim strongly preferred.
  • Experience with Isaac Lab, Omniverse, OpenUSD, digital twins, synthetic data generation, or sim-to-real workflows highly desirable.
  • Experience building simulation environments, digital twins, or validation infrastructure from the ground up.
  • Strong Python and/or C++ skills.
  • Experience deploying systems from simulation into real-world robotic hardware.
  • Hands-on experience with sensing systems including cameras, LiDAR, radar, depth sensors, IMUs, or related technologies.
  • Experience in localization, mapping, sensor fusion, perception, digital twins, or autonomous systems is highly relevant.
  • Strong understanding of robotics, autonomy, reinforcement learning, perception, or AI-driven robotic systems.
  • Ability to thrive in ambiguity and take ownership of complex technical problems with minimal direction.
  • Comfortable operating in a highly collaborative, customer-facing environment.
WHY THIS ROLE?
  • Early-stage environment with significant technical ownership.
  • Opportunity to influence product, architecture, and long-term company direction.
  • Work directly with customers solving challenging robotics and autonomy problems.
  • Shape simulation, validation, and digital twin strategy from an early stage.
  • Build technology with the potential to become a critical part of next-generation robotics development workflows.
LOCATION

New York City (5 days per week on-site)

COMPENSATION

$180,000–$300,000 base salary plus meaningful equity participation.

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