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Cfd Simulation Jobs in New York (NOW HIRING)

ZeroMark

Mechanical Design Engineer

New York, NY · On-site

$83K - $112K/yr

Perform engineering calculations, simulations (FEA, CFD), and analyses to validate designs. * Select appropriate materials, manufacturing processes, and components for designs. * Prototyping ...

PhysicsX

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

We are building an AI-driven simulation software stack for engineering and manufacturing across ... Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data ...

Kurt J Lesker

Mechanical Engineer

Rockleigh, NJ · On-site

$85K - $110K/yr

Conduct thorough analysis, simulation, and testing to validate design concepts and optimize ... Proficient in CAD/FEA/CFD * Knowledge of ANSI Y14.5 - 2018 and ANSI Y14.35 - 2014 * Minimum 2 years ...

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Cfd Simulation information

See New York salary details

$12K

$74K

$132.9K

How much do cfd simulation jobs pay per year?

As of Aug 8, 2026, the average yearly pay for cfd simulation in New York is $73,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,100.00 and $87,000.00 per year, depending on experience, location, and employer.

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

To thrive as a CFD Simulation Engineer, you need a solid background in fluid dynamics, thermodynamics, and numerical methods, typically supported by a degree in mechanical, aerospace, or related engineering fields. Proficiency in CFD software such as ANSYS Fluent, OpenFOAM, or STAR-CCM+, and familiarity with programming languages like Python or MATLAB, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with multidisciplinary teams. These skills ensure accurate simulations, innovative solutions, and successful project outcomes in complex engineering environments.

What is the difference between Cfd Simulation vs Mechanical Engineer?

AspectCfd SimulationMechanical Engineer
Required CredentialsEngineering degree, CFD certificationsMechanical engineering degree, Professional Engineer license
Work EnvironmentDesign firms, research labs, aerospace, automotiveManufacturing, design, R&D, construction
Industry UsageFluid dynamics analysis, product optimizationMechanical systems design, thermal analysis

While Cfd Simulation specialists focus on computational fluid dynamics analysis, Mechanical Engineers have a broader role in designing and analyzing mechanical systems. Both roles require engineering degrees, but Cfd Simulation is more specialized in fluid flow modeling, often within the same industries as Mechanical Engineering.

What is CFD simulation?

CFD simulation, or Computational Fluid Dynamics simulation, is a branch of engineering that uses numerical analysis and algorithms to solve and analyze problems involving fluid flows. It allows engineers and scientists to virtually simulate the behavior of liquids and gases in various environments, predicting things like airflow over a car, water movement in pipes, or heat transfer in electronic devices. This technique helps optimize designs, reduce costs, and improve performance without extensive physical prototyping.

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

Professionals in CFD Simulation roles often encounter challenges such as handling complex geometries, achieving mesh independence, and ensuring simulation accuracy within tight deadlines. Collaboration with design engineers and regular validation against experimental data are vital for overcoming these hurdles. Staying updated with the latest software tools and best practices also helps in optimizing workflow and improving simulation reliability. Engaging in cross-functional teamwork can further facilitate problem-solving and knowledge sharing.
What are popular job titles related to Cfd Simulation jobs in New York? For Cfd Simulation jobs in New York, the most frequently searched job titles are:
What job categories do people searching Cfd Simulation jobs in New York look for? The top searched job categories for Cfd Simulation jobs in New York are:
Cfd Simulation jobs near you
Infographic showing various Cfd Simulation job openings in New York as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $73,958 per year, or $35.6 per hour.

AI Researcher: Physics Foundation Models

Mirror Physics Corporation

New York, NY • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 17 days ago

Job description

The Company
Mirror Physics is a New York-based AI company working on a new frontier in scientific simulation. We design intelligent systems that understand physics from first principles, providing critical acceleration for advanced technological R&D. Today, we're building the world's most capable AI platform for predicting experimental outcomes in chemistry and materials science, tightly coupling physical simulation with high-throughput experimental verification, to accelerate discovery in biotech, energy, manufacturing, and other domains. Backed by leading investors and scientific experts, we are expanding our research team at a pivotal moment in the field.
The Opportunity
The engine of the Mirror platform is our foundation model for physics-based simulation. As the lead AI researcher in physics model development, you will spearhead the development of new architectures, training algorithms, and evaluation workflows to convert large volumes of physical simulation data into highly scalable, accurate, and general-purpose predictive engines for science and industry.
Key Responsibilities
  • Develop robust, scalable, and generalizable atomistic models with high fidelity across chemical domains.
  • Curate heterogeneous and multi-fidelity datasets into unified training corpora; develop new objectives that maximize data efficiency.
  • Generate novel datasets encompassing an unparalleled diversity of chemical systems consistently computed at the highest level of theory suitable for general chemistries.
  • Develop diagnostic tooling for model performance, failure-mode analysis, and uncertainty quantification; propose new benchmarks that stress-test predictive accuracy, physical consistency, and extrapolation.
  • Engineer downstream tools to enhance model accuracy and speed including model distillation and fine-tuning methods.
  • Engage with the AI-for-science community through publication and contributions at NeurIPS, ICML, ICLR, and other domain venues.
  • Mentor junior researchers and collaborate with applied science and engineering teams.

Who you are
  • Ph.D. or M.S./B.S. with equivalent research record in Physics, Materials Science, Computer Science, or related field with a strong emphasis on machine learning and atomistic modeling.
  • 3+ years experience with deep learning at scale, especially equivariant GNNs, diffusion and transformer architectures.
  • Strong literacy in multi-scale materials modeling from the quantum-mechanical (DFT) through molecular (MD) scales
  • Fluency in Python plus PyTorch and familiarity with distributed training tooling (CUDA, NCCL, Slurm).
  • Excellent collaboration, communication, and team-working skills.
  • Deep commitment and passion for advancing science.

Preferred Extras
  • Contributions to open-source codebases, datasets, or benchmarks in computational chemistry, CFD, or continuum mechanics.
  • Familiarity with JAX.

What We Offer
  • Competitive salary + meaningful equity
  • Full health, dental, and vision benefits for you and your family
  • Personal fitness budget
  • Unlimited PTO and all national holidays

Location & Work Model
Hybrid work available; in-office preferred. Visa sponsorship available.
Equal Opportunity
Mirror is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply