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Computational Scientist Cfd Jobs (NOW HIRING)

Flexcompute Inc.

CFD Solver Developer

Watertown, MA · On-site

PhD in Computational Science and Engineering, Mechanical Engineering or Aerospace Engineering * Expertise in one or more of the following topics: * Linear solvers and convergence acceleration of CFD ...

Flexcompute Inc.

CFD Solver Developer

Watertown, NY · On-site

PhD in Computational Science and Engineering, Mechanical Engineering or Aerospace Engineering * Expertise in one or more of the following topics: * Linear solvers and convergence acceleration of CFD ...

Flexcompute Inc.

CFD Solver Developer

Watertown, MA · On-site

PhD in Computational Science and Engineering, Mechanical Engineering or Aerospace Engineering * Expertise in one or more of the following topics: * Linear solvers and convergence acceleration of CFD ...

Flexcompute Inc.

CFD Solver Developer

Watertown, MA · On-site

PhD in Computational Science and Engineering, Mechanical Engineering or Aerospace Engineering * Expertise in one or more of the following topics: * Linear solvers and convergence acceleration of CFD ...

Blue Origin LLC

CFD Analyst III

Seattle, WA · On-site

## CFD Analyst IIIApplylocations: Greater Seattle Area: Huntsville, ALtime type: Full timeposted on ... sciences or computational methods* Experience with conjugate heat transfer (CHT) simulations ...

Ara

... scientists. The Computational Physics Group develops code and performs computational analysis for large Computational Fluid Dynamics (CFD) and computational structural dynamics (CSD) simulations. The ...

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Computational Scientist Cfd information

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$137.5K

How much do computational scientist cfd jobs pay per year?

As of Sep 9, 2026, the average yearly pay for computational scientist cfd in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Computational Scientist Cfd jobs?

For Computational Scientist Cfd jobs, the most frequently searched job titles are:

Lead Data Scientist (Scientific Software Engineer / Computational Scientist) - Only W2

Mountain View, CA • On-site

Saransh Inc
IT Services • 51 - 200 employees
Learn more about Saransh Incexternal

Contractor

Re-posted 23 days ago

Job description

Role: Lead Data Scientist (Scientific Software Engineer / Computational Scientist)
Location: Mountain View, CA (Hybrid – 3 days a week onsite)
Job Type: W2 Contract
 
 
Note: Only Visa Independent candidates are required (No C2C or Third-party candidates)
 
 
Experience Level: Lead
 
Main Skills:
  • Python (NumPy/SciPy/CuPy)
  • C++
  • PyTorch
  • Geostatistics
  • 3D Mathematics
  • CUDA/OpenMP
  • AI-assisted coding
 
Short Overview:
  • Scientific Software Engineer or Computational Scientist with a niche background in scientific simulation, procedural generation, or computational physics.
  • This is an implementation-heavy role requiring a developer who can translate complex mathematical logic and generative ML models into performant code to solve high-dimensional geometric problems.
 
Simulation & Generative Modeling
 Seeking a deep expertise in scientific computing, procedural generation, or computational physics to build the core algorithms for our 3D subsurface modeling engine.
 
The Role:
This is an implementation-heavy position bridging procedural physics and generative ML.
 
What We're Looking For:
Core Competencies:
  • Procedural Generation: Terrain synthesis, voxel engines, noise-driven systems
  • Scientific Computing: CFD, FEA, multi-physics solvers
  • Computational Geometry: 3D mesh processing, volumetric data structures, spatial partitioning
Key Responsibilities:
  1. Algorithmic Implementation — Design memory-efficient algorithms for massive 3D voxel arrays and sparse data structures; implement deterministic and stochastic geometric rules
    • Example: Build C++/Python kernels using 3D Perlin/Simplex noise and vector fields to simulate braided river systems
    • Example: Implement Boolean CSG algorithms for volumetric injections of igneous bodies
  2. Generative ML Engineering — Architect and train models (GANs, Diffusion) for high-resolution 3D spatial data using PyTorch
    • Example: Generate realistic fracture networks via 3D generative models
    • Example: Apply neural style transfer to map sedimentary textures onto volumetric frameworks
 
Required Technical Skills:
  • Languages: Expert Python (NumPy/SciPy/CuPy); proficient C++ for performance kernels
  • Mathematics: Linear algebra, vector calculus, coordinate transformations
  • ML Frameworks: PyTorch (generative AI, computer vision)
  • Performance: CUDA/OpenMP; parallel computing experience
  • Workflow: AI-assisted coding for rapid prototyping and testing
 
Domain Knowledge:
Mathematical maturity in:
  • Structural modeling
  • Sedimentology
  • Tectonics
  • Geostatistics
 
Ideal Background:
  • MS/PhD in Computer Science, Applied Mathematics, Computational Physics, or equivalent
  • Portfolio/GitHub demonstrating procedural world-building, physics engines, or scientific simulators