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

Mountain View, CA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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 Were 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:

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
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

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 Skil...