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Computational Geometry Jobs (NOW HIRING)

Align Technology, Inc.

$195K/yr

Leverage your knowledge of 3D computational geometry, computer vision and generative AI. What We Expect From You Focus & expertise in 3D & 2D machine learning. Excellence in 3D geometry. Passion for ...

cove

Software Engineer

Atlanta, GA · On-site

$110K - $120K/yr

Work with 3D geometry and computational geometry libraries to build performant, scalable features * Participate in code reviews and architectural discussions, helping shape the technical direction of ...

Oxman

Computational Designer

New York, NY · On-site

$75K - $225K/yr

Proficiency in Houdini for computational geometry and procedural modeling is mandatory. Experience with Rhino and Grasshopper workflows is preferred. * Experience developing workflows for site ...

Jitx Inc.

Senior Software Engineer

Berkeley, CA · On-site +1

$150K - $250K/yr

What You'll Work On Design Automation Algorithms - Placement, routing, pin-assignment, and geometry generation algorithms for PCBs - Computational geometry and spatial data structures - Constraint ...

Jitx Inc.

Senior Software Engineer

Berkeley, CA · On-site

$150K - $250K/yr

Computational geometry and spatial data structures * Constraint solving and optimization Simulation Integration * Integrating industry simulation tools (e.g. Ansys HFSS) into our design flow

Jitx Inc.

Senior Software Engineer

Berkeley, CA · On-site +1

$150K - $197.70K/yr

What You'll Work On Design Automation Algorithms - Placement, routing, pin-assignment, and geometry generation algorithms for PCBs - Computational geometry and spatial data structures - Constraint ...

Atomic Semi

Software Engineer, Rust

San Francisco, CA · On-site

$125K - $195K/yr

Blending computational geometry, real-time collaboration, and interactive editing, you will take broad ownership of software that solves deep technical challenges for our internal users. We are open ...

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How much do computational geometry jobs pay per hour?

As of May 31, 2026, the average hourly pay for computational geometry in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is a Computational Geometry job?

A Computational Geometry job involves designing, analyzing, and implementing algorithms to solve geometric problems. These roles are common in fields like computer graphics, robotics, geographic information systems (GIS), and computer-aided design (CAD). Professionals in this field work with spatial data structures, optimization methods, and geometric modeling techniques to improve efficiency and accuracy in applications. Strong skills in algorithms, mathematics, and programming (often in C++, Python, or specialized libraries) are essential.

What are the key skills and qualifications needed to thrive in the Computational Geometry position, and why are they important?

To excel in Computational Geometry roles, a strong background in mathematics, algorithms, and computer science, often supported by an advanced degree, is essential. Proficiency in programming languages like C++, Python, or Java, as well as experience with computational geometry libraries and tools, is highly valued. Strong analytical thinking, problem-solving ability, and collaboration skills enable professionals to effectively tackle complex geometrical challenges with teams. These competencies are critical for developing efficient algorithms and innovative solutions in fields such as computer graphics, robotics, CAD, and geographic information systems.

What types of projects do Computational Geometry professionals typically work on?

Computational Geometry professionals often work on projects involving the development and optimization of algorithms for spatial data processing, 3D modeling, collision detection, mesh generation, and pathfinding. These projects can support a wide range of industries, including computer-aided design (CAD), robotics, computer graphics, and geographic information systems (GIS). Team members may collaborate closely with software engineers, data scientists, and hardware designers to integrate geometric algorithms into larger systems. The work environment is typically collaborative, innovative, and detail-oriented, offering opportunities to contribute to cutting-edge technologies and industry advancements.
More about Computational Geometry jobs
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Computational Geometry jobs near you
Infographic showing various Computational Geometry job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 76% Physical, 1% Hybrid, and 23% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

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

Saransh Inc

Mountain View, CA • On-site

Contractor

Posted 11 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