Simplex
Simplex

60 Simplex Jobs Hiring in California

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Experience with major manufacturers such as Notifier, Simplex, Siemens, EST, Fire-Lite, Potter, or Silent Knight considered a strong asset * NICET certifications are considered a strong asset

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Experience with major manufacturers such as Notifier, Simplex, Siemens, EST, Fire-Lite, Potter, or Silent Knight considered a strong asset * NICET certifications are considered a strong asset

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Simplex Jobs Information

What makes Simplex an attractive place to work?

Simplex is a well-established company in the industry, known for its commitment to delivering high-quality solutions and services. The company's workplace is characterized by a culture of innovation, collaboration, and stability, with opportunities for employees to work on diverse projects and contribute to the company's growth. Joining Simplex can provide professionals with a chance to make a meaningful impact, develop their skills, and advance their careers in a dynamic and supportive environment.

What are the most popular categories at Simplex?

Infographic showing various job openings at Simplex in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

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

Saransh Inc

Mountain View, CA • On-site

Contractor

Re-posted yesterday


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