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Cfd Simulation Openfoam Jobs in New York (NOW HIRING)

Principal CFD Engineer

Manhattan, NY · On-site

$100 - $130/hr

We are building an AI‑driven simulation software stack for engineering and manufacturing across ... Highly proficient in at least one of Star‑CCM+, OpenFOAM, or Fluent and adept at automating these ...

We are building an AI-driven simulation software stack for engineering and manufacturing across ... Highly proficient in at least one of Star-CCM+, OpenFOAM, or Fluent and adept at automating these ...

Cfd Simulation Openfoam information

What is CFD simulation with OpenFOAM?

CFD (Computational Fluid Dynamics) simulation with OpenFOAM involves using the open-source OpenFOAM software to analyze and predict fluid flow, heat transfer, and related physical phenomena. OpenFOAM provides a suite of solvers and utilities for solving complex fluid dynamics problems in engineering and research. Users can customize and extend its capabilities through programming, making it a popular choice for both academic and industrial applications. The software supports simulations in areas such as aerodynamics, hydrodynamics, chemical reactions, and multiphase flows.

What are the key skills and qualifications needed to thrive as a CFD simulation engineer using OpenFOAM?

To thrive as a CFD Simulation Engineer with OpenFOAM, you need a solid background in fluid dynamics, numerical methods, and a relevant engineering or physics degree. Proficiency with OpenFOAM software, scripting languages (like Python or Bash), and familiarity with Linux environments are typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you interpret results and collaborate on multidisciplinary teams. These skills ensure accurate simulations, efficient workflow, and actionable insights for engineering projects.

What are some common challenges faced when running CFD simulations with OpenFOAM, and how can they be addressed?

A common challenge in running CFD simulations with OpenFOAM is ensuring mesh quality and convergence, as poor mesh or inappropriate boundary conditions can lead to inaccurate results or simulation failures. New users often encounter difficulties in setting up complex case files and understanding solver settings. To address these issues, it's important to familiarize yourself with OpenFOAM's documentation, leverage community forums, and start with simpler cases before advancing to more complex simulations. Collaborating with experienced team members or mentors can also be invaluable for troubleshooting and learning best practices.

What is the difference between Cfd Simulation Openfoam vs Cfd Engineer?

AspectCfd Simulation OpenfoamCfd Engineer
CredentialsKnowledge of OpenFOAM, engineering backgroundEngineering degree, CFD software skills
Work EnvironmentResearch labs, engineering firms, academiaDesign firms, manufacturing, aerospace
Industry UsageSimulation development, research projectsDesign optimization, product testing

While Cfd Simulation Openfoam focuses on using and developing CFD simulations with OpenFOAM software, a Cfd Engineer applies CFD tools like OpenFOAM in practical engineering projects. The former is more research-oriented, whereas the latter emphasizes application and design optimization in industry.

What job categories do people searching Cfd Simulation Openfoam jobs in New York look for?

The top searched job categories for Cfd Simulation Openfoam jobs in New York are:

What cities in New York are hiring for Cfd Simulation Openfoam jobs?

Cities in New York with the most Cfd Simulation Openfoam job openings:

Principal CFD Engineer

PhysicsX

Manhattan, NY • On-site

$100 - $130/hr

Other

Retirement, PTO

Re-posted 29 days ago


Job description

PhysicsX is a deep‑tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI‑driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high‑fidelity, multi‑physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations – empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

Who We’re Looking For

As a Principal Simulation Engineer (Delivery), you are a technical leader and problem solver who is passionate about creating practical, high‑impact solutions that enable customers to make better engineering decisions. You combine deep simulation expertise with strong leadership and customer ownership, and you excel at working directly with customers (often directly on‑site) to build CAE models that are integrated into AI‑tools that are both useful and used.

You bring deep expertise in fluid mechanics, heat transfer, and multiphase modelling, with a solid ability to apply fundamental knowledge to real‑world phenomena across a wide range of engineering applications. Highly proficient in at least one of Star‑CCM+, OpenFOAM, or Fluent and adept at automating these tools to create scalable optimisation workflows that drive impactful results. Experience in parametric CAD modelling (NX or CATIA) and coding in Python/Java, (or the ability to quickly learn programming languages), is an advantage.

With 5+ years of industry experience (post Masters or PhD) in a commercial, non‑research environment, you’re ready to hit the ground running. You’re confident setting up CFD simulations independently, interpreting complex results with depth, and making informed decisions based on solid engineering judgement.

Note: Due to the nature of our aerospace and defense work, this position is open to US citizens only.

This Role

In this role, you’ll work closely with our Data Scientists, Machine Learning Engineers, and customers to understand and define the engineering challenges we are solving.

You’ll play a crucial role in delivering high‑fidelity simulations by:

  • Leading the technical direction and delivery of complex multi‑physics simulation workstreams, remaining hands‑on for the most challenging aspects while guiding teams through execution.
  • Partnering with customers to address their most complex engineering challenges through advanced CAE & AI solutions; presenting results clearly, recommending actionable next steps, and balancing accuracy with efficiency under tight deadlines.
  • Independently building and/or guiding others to develop complex multi‑physics models from geometry clean‑up and meshing, to simulating and post‑processing complex real‑world phenomena, integrating experimental data for model validation.
  • Building robust parametric CAD models (NX or CATIA) coupled with simulation pipeline automation, for executing advanced design optimization and DoE studies.
  • Working at the intersection of CAE and Data Science to generate high‑quality simulation datasets for training machine/deep learning models. Leveraging data sampling techniques to efficiently capture the design space, reduce computational cost, and enhance model accuracy.
  • Accelerating high‑fidelity modelling by using Flux (our cloud platform) and on‑premise HPC resources, going beyond smart meshing and model setup to achieve real performance gains.
  • Continuously improving engineering best practices, adapting CFD model setups and outputs to support the development of deep learning surrogates.
  • Combining project leadership with a strong commitment to mentoring junior colleagues, contributing to a culture of collaboration, growth, and shared success.
  • Traveling globally (North America, Europe, Asia, Oceania), on average 3‑4 weeks per quarter, to work side‑by‑side with customers in building solutions on‑site.

This role is based in New York, working 2‑3 days per week in our Manhattan office.

Help shape an AI‑native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real‑world impact – and something you can be proud to stand behind.

Benefits

Equity options – share meaningfully in the company you’re helping to build.

5% contribution to 401(k) – build long‑term security with a strong retirement plan.

Free team lunch 1× week – good food, great company, and space to connect.

Private health insurance – comprehensive cover for you, offering total peace of mind.

Enhanced parental leave – 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

20 days of annual leave (+ public holidays) – because taking time to rest matters.

Personal development – dedicated support for learning, development, and leveling up over time.

Gympass / Wellhub (subsidized) – for you and up to 3 family members, supporting both physical and mental wellbeing.

Flexible Spending Account (FSA) – set aside pre‑tax dollars for eligible healthcare expenses.

EEO Statement

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply.

We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

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