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Computational Modeling Simulation Multiphysics Jobs in New York, NY

You have deep experience with synthetic data generation, agent-based modeling, computational social ... You are interested in using LLMs as a simulation substrate - not just for text generation, but for ...

Postdoctoral Fellow

New York, NY · On-site

$53K - $72K/yr

Develop computer programs and scripts for computational modeling, data collection, processing, simulation, visualization, and analysis * Custom programming of cadaveric robotic systems * Imaging and ...

Computational Ecologist

New York, NY · On-site

$152K - $203K/yr

EDEN is a digital design environment for engineering and designing ecosystems, modeling the flows ... EDEN enables designers to plan intentionally for these outcomes through analysis, simulation, and ...

Lead Engineer - Aerodynamics

Bohemia, NY · On-site

$114K - $152K/yr

You may use both Computational Fluid Dynamics (CFD) simulations and multiphysics solvers ... Ability to investigate, model and provide critical insight into complex physical flow phenomena.

Senior Software Engineer

New York, NY · On-site +1

$134K - $176K/yr

Background in architecture or urban planning with expertise in computational methods (generative design, simulation, optimization, and environmental modeling). * Experience analyzing scientific and ...

Senior Software Engineer

New York, NY · On-site

$120K - $150K/yr

Background in architecture or urban planning with expertise in computational methods (generative design, simulation, optimization, and environmental modeling). * Experience analyzing scientific and ...

Showing results 21-40

Computational Modeling Simulation Multiphysics information

See New York, NY salary details

$42.7K

$110.8K

$157.5K

How much do computational modeling simulation multiphysics jobs pay per year?

As of Aug 7, 2026, the average yearly pay for computational modeling simulation multiphysics in New York, NY 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 Computational Modeling Simulation Multiphysics vs Computational Engineer?

AspectComputational Modeling Simulation MultiphysicsComputational Engineer
CredentialsTypically requires degrees in engineering, physics, or related fields; certifications in simulation software are commonSimilar educational background; often holds engineering degrees and software certifications
Work EnvironmentPrimarily in R&D labs, engineering firms, or manufacturing settings focusing on complex simulationsInvolved in product development, software development, or systems design in various industries
Industry UsageUsed in aerospace, automotive, energy, and manufacturing for advanced simulationsApplied across industries for designing, analyzing, and optimizing systems and products

While both roles involve computational skills and engineering principles, Computational Modeling Simulation Multiphysics specializes in complex, multi-physics simulations, whereas Computational Engineer focuses on designing and implementing computational solutions across various engineering projects.

What are the key skills and qualifications needed to thrive as a computational modeling simulation multiphysics engineer, and why are they important?

A strong background in physics, engineering, mathematics, and computational science—typically with an advanced degree—is essential for a Computational Modeling Simulation Multiphysics Engineer. Proficiency in simulation software such as ANSYS, COMSOL Multiphysics, MATLAB, and programming languages like Python or C++ is commonly required, along with familiarity with high-performance computing environments. Analytical thinking, problem-solving skills, and effective communication set standout professionals apart in this field. These capabilities enable accurate modeling of complex physical phenomena, efficient collaboration, and successful project outcomes in research and industry settings.

What is computational modeling simulation multiphysics?

Computational modeling simulation multiphysics refers to the use of computer-based models to simulate and analyze systems that involve multiple interacting physical phenomena—such as fluid dynamics, heat transfer, electromagnetics, and structural mechanics—all at once. This approach allows researchers and engineers to predict complex real-world behavior, optimize designs, and reduce the need for expensive prototypes. Multiphysics simulations are widely used in industries like aerospace, automotive, energy, and biomedical engineering, where accurate modeling of coupled physical processes is critical.

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

One of the main challenges in Computational Modeling Simulation Multiphysics roles is managing the complexity of integrating multiple physical phenomena, such as thermal, structural, and fluid dynamics, into a single simulation. This often requires a deep understanding of both the underlying physics and the numerical methods used by simulation software. Collaborating closely with domain experts and maintaining clear communication within multidisciplinary teams can help address these challenges. Additionally, staying updated with advances in simulation tools and best practices through continuous learning is key to overcoming technical hurdles and ensuring accurate results.
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What job categories do people searching Computational Modeling Simulation Multiphysics jobs in New York, NY look for? The top searched job categories for Computational Modeling Simulation Multiphysics jobs in New York, NY are:
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Population Simulation Researcher

Aaru

New York, NY • On-site

$250K - $800K/yr

Full-time

Medical, Dental, Vision

Re-posted 18 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 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
As a Researcher at Aaru, you will design, build, and improve the simulation systems that generate high-fidelity synthetic agents from real-world profiles. The Research team is responsible for Aaru's core simulation capabilities - the technology that enables our customers to test decisions against realistic populations before committing to them.
RESPONSIBILITIES
  • Design and advance methods for synthesizing realistic agents from structured and unstructured profile data
  • Build and evaluate simulation pipelines that produce population-level distributional accuracy across demographic, attitudinal, and behavioral dimensions
  • Develop techniques for grounding agent behavior in real-world data sources - surveys, behavioral traces, psychometric instruments, and domain-specific datasets
  • Design hybrid architectures that combine large language models with classical methods from computational social science, psychometrics, and survey methodology
  • Build rigorous evaluation frameworks that measure simulation quality against known ground-truth distributions (e.g., GSS, census, proprietary panel data)
  • Identify and close gaps between simulated and observed population behavior through iterative experimentation
YOU MAY BE A FIT IF
  • You have deep experience with synthetic data generation, agent-based modeling, computational social science, or population simulation
  • You are interested in using LLMs as a simulation substrate - not just for text generation, but for producing structured behavioral outputs that hold up under statistical scrutiny
  • You think carefully about what it means for a simulation to be "accurate" and can articulate the difference between individual-level plausibility and distributional fidelity
  • You have a PhD in ML, computational social science, cognitive science, statistics, psychometrics, or a quantitative field - or equivalent depth from industry research
  • You communicate clearly about what's working and what isn't, including when results are null or ambiguous
  • You move fast and are comfortable producing work at high velocity without sacrificing rigor
STRONG CANDIDATES MAY ALSO
  • Have built systems that generate or evaluate synthetic populations at scale
  • Have experience with survey methodology, psychometrics, or demographic modeling
  • Have published work on agent-based simulation, synthetic data, or LLM-based behavioral modeling
  • Have worked in a high-velocity research environment where shipping matters as much as rigor
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.