CFD Engineer – Fluid Dynamics & Thermal Analysis

You will own end-to-end Computational Fluid Dynamics analysis— from geometry preparation to design recommendations— using industry-leading solvers. Our cross-disciplinary culture values curiosity, iterative learning, and flexible collaboration, including remote engagement when project needs allow.  

Key Responsibilities  

- Build, clean and parameterize complex 3-D geometries; create high-quality structured and unstructured meshes.  

- Run steady-state and transient CFD simulations in ANSYS Fluent, STAR-CCM+, OpenFOAM and COMSOL.  

- Model turbulence, multiphase flow, conjugate heat transfer and compressible regimes with validated numerical schemes.  

- Correlate computational predictions with wind-tunnel or rig data; quantify uncertainty and refine models.  

- Interpret flow visualization (streamlines, iso-surfaces, spectral plots) to uncover loss mechanisms and propose design revisions.  

- Automate batch studies through Python or Java macros— shortening iteration loops.  

- Present clear technical stories to design, manufacturing and executive stakeholders, turning gigabytes of data into actionable insight.  

- Author best-practice guidelines and mentor junior analysts, elevating the overall CFD capability of the organization.  

Minimum Qualifications  

- Bachelor’s or Master’s in Mechanical or Aerospace Engineering, with a focus on fluid mechanics or thermosciences.  

- 4+ years of professional CFD experience solving industrial problems.  

- Proven mastery of finite-volume methods, turbulence modeling (RANS, DES, LES) and mesh independence studies.  

- Hands-on skill with at least two major solvers (ANSYS Fluent, STAR-CCM+, OpenFOAM, COMSOL) plus ParaView for post-processing.  

- Proficiency in MATLAB or Python for data reduction and scripting.  

- Solid grounding in thermodynamics, heat transfer and numerical methods.  

- Permission to work in the United States.  

Preferred Extras  

- Background in turbo-machinery, electric-vehicle thermal management or advanced air-mobility vehicles.  

- Familiarity with optimization algorithms (DOE, genetic, adjoint) and surrogate modeling.  

- Experience integrating CFD with FEA or 1-D system codes for coupled simulations.  

- Exposure to cloud-based HPC clusters and containerized workflows.  

Why This Opportunity Stands Out  

– You influence products that cut emissions, boost energy efficiency and reshape mobility.  

– You collaborate with multidisciplinary engineers— structures, controls, electronics— broadening your perspective.  

– You gain space to experiment, fail fast, and iterate toward elegant, physics-driven solutions.