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Entry Level Computational Geometry Developer Jobs

Prointegrate LLC

Be Seen First

Hardware Expert - (Remote - Anywhere in USA) 50-100 usd/hr

Dallas, TX · Remote

$50 - $100/hr

Strong Python programming ability. * Hands-on experience with 3D CAD or computational geometry. * Ability to interpret dimensioned engineering drawings and schematics. * Strong 3D spatial reasoning ...

Flexcompute Inc.

CFD Solver Developer

Watertown, MA · On-site

Basics of computational geometry and meshing requirements for CFD simulations * Proven experience ... PhD in Computational Science and Engineering, Mechanical Engineering or Aerospace Engineering

Flexcompute Inc.

CFD Solver Developer

Watertown, MA · On-site

Basics of computational geometry and meshing requirements for CFD simulations * Proven experience ... PhD in Computational Science and Engineering, Mechanical Engineering or Aerospace Engineering

Flexcompute Inc.

CFD Solver Developer

Watertown, MA · On-site

Basics of computational geometry and meshing requirements for CFD simulations * Proven experience ... PhD in Computational Science and Engineering, Mechanical Engineering or Aerospace Engineering

Open Orion

ML Engineer

San Francisco, CA · On-site

... networks • Familiarity with computational geometry concepts meshes, BREP/NURBS, surface ... mechanical, or civil engineering domain knowledge Company : Founded in , the company is ...

Jitx Inc.

Senior Software Engineer

Berkeley, CA · On-site +1

$150K - $250K/yr

... geometry generation algorithms for PCBs - Computational geometry and spatial data structures ... You're an engineer first. You write clean, consistent, production-ready code and take ownership of ...

Jitx Inc.

Senior Software Engineer

Berkeley, CA · On-site

$150K - $250K/yr

... geometry generation algorithms for PCBs - Computational geometry and spatial data structures ... You're an engineer first. You write clean, consistent, production-ready code and take ownership of ...

Open Orion

Head of AI

San Francisco, CA · On-site

... geometry kernels and understand the engineering context) • Ability to build agentic systems multi-step AI pipelines that plan, execute, and adapt • Familiarity with computational geometry ...

Vinci AI

Physics Applications - Researcher

Palo Alto, CA · On-site

$190K - $260K/yr

You will work with Physicists, AI researchers, Software Engineers and Computational Geometry experts. You will work with a team to carry early prototypes through iteration and hardening all the way ...

Freeform

Simulation Engineer

Los Angeles, CA · On-site

Guide the integration of computational geometry and meshing techniques to support large-scale ... Strong programming skills in C, C++, or CUDA * Experience developing simulations in a high ...

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Entry Level Computational Geometry Developer information

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$29.5K

$100.3K

$241.5K

How much do entry level computational geometry developer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for entry level computational geometry developer in the United States is $100,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $106,000.00 per year, depending on experience, location, and employer.

What is an entry level computational geometry developer?

Entry level computational geometry developers are software professionals who specialize in creating algorithms and software solutions for geometric problems, such as 3D modeling, graphics, and spatial analysis. They typically work with basic data structures, geometric algorithms, and programming languages like C++, Python, or Java. These developers often contribute to industries such as computer graphics, CAD, robotics, and geographic information systems (GIS). At the entry level, they focus on learning industry standards, implementing algorithms, and supporting senior developers in larger projects.

What are some common challenges faced by entry level computational geometry developers in their first year?

Entry level computational geometry developers often encounter challenges like interpreting complex mathematical concepts, translating geometric algorithms into efficient code, and debugging intricate spatial problems. Adapting to industry-standard libraries and collaborating with cross-functional teams, such as graphics engineers or data scientists, can also be new experiences. Overcoming the learning curve involves continuous practice, seeking mentorship, and staying updated with the latest research and tools in computational geometry.

What are the key skills and qualifications needed to thrive as an entry level computational geometry developer, and why are they important?

To thrive as an Entry Level Computational Geometry Developer, you need a strong background in mathematics (especially geometry and algorithms), programming skills in languages like C++ or Python, and typically a bachelor's degree in computer science, mathematics, or a related field. Familiarity with computational geometry libraries, version control systems like Git, and experience using development environments are common technical requirements. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate on complex projects and articulate solutions. These skills ensure you can efficiently develop, debug, and optimize geometric algorithms for practical applications.
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Entry Level Computational Geometry Developer jobs near you
Infographic showing various Entry Level Computational Geometry Developer job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 3% Part Time, and 12% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $100,265 per year, or $48.2 per hour.

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

Saransh Inc

Mountain View, CA • On-site

Contractor

Re-posted 15 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