Lead Data Scientist; Scientific Software Engineer/Computational Scientist – W2
Job in
Mountain View, Santa Clara County, California, 94039, USA
Listed on 2026-02-28
Listing for:
Info Dinamica Inc
Part Time
position Listed on 2026-02-28
Job specializations:
-
Engineering
AI Engineer, Computer Science, Artificial Intelligence, Mathematics
Job Description & How to Apply Below
Role:
Lead Data Scientist (Scientific Software Engineer / Computational Scientist)
Location:
Mountain View, CA (Hybrid 3 days a week onsite)
Job Type: W2 Contract
Experience Level: Lead
Main
Skills:
- Python (Num Py/Sci Py/CuPy)
- C
- Py Torch
- 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.
Seeking a deep expertise in scientific computing, procedural generation, or computational physics to build the core algorithms for our 3D subsurface modeling engine.
The RoleThis 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
- 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
- Example:
Generate realistic fracture networks via 3D generative models - Example:
Apply neural style transfer to map sedimentary textures onto volumetric frameworks
- Languages
:
Expert Python (Num Py/Sci Py/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
- Structural modeling
- Sedimentology
- Tectonics
- Geostatistics
- MS/PhD in Computer Science, Applied Mathematics, Computational Physics, or equivalent
- Portfolio/Git Hub demonstrating procedural world-building, physics engines, or scientific simulators
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