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Living In Computational Geometry Developer Jobs (NOW HIRING)

Luminary Cloud

Geometry/Meshing Engineer

San Mateo, CA · On-site

Luminary helps engineering companies be more competitive by getting to market faster, creating new ... In this role, you will: * Develop and productize novel computational geometry handling and meshing ...

Higharc

Engineering Manager, Building Generation

Deep background in computational geometry (boolean operations, mesh processing, BReps, constraint ... to versioning, performance, and developer experience * Familiarity with geometry kernels ...

Quilter

Senior/Staff Software Engineer (C++)

$180K - $200K/yr

Core Router Team: Expertise in graph theory, computational geometry, operations research ... Expertise with parallel programming, distributed systems, HPC frameworks, or API design. * Physics ...

Flexcompute Inc.

CFD Solver Developer

Watertown, MA · On-site

... and computational geometry algorithms in a production environment. The candidate will gain ... Follow sound software engineering practices. The code we write today will underpin our platform ...

Flexcompute Inc.

CFD Solver Developer

Watertown, MA

... and computational geometry algorithms in a production environment. The candidate will gain ... Follow sound software engineering practices. The code we write today will underpin our platform ...

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How much do living in computational geometry developer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for living in computational geometry developer in the United States is $76,580.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $85,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computational Geometry Developer, and why are they important?

To thrive as a Computational Geometry Developer, you need strong mathematical proficiency, particularly in geometry and algorithms, along with a background in computer science or a related field. Familiarity with programming languages such as C++, Python, or Java, and experience using libraries like CGAL or Qhull, are typically required. Analytical thinking, problem-solving skills, and effective teamwork are crucial soft skills in this role. These competencies ensure the accurate development of geometric algorithms and the ability to collaborate on complex technical projects.

What kinds of projects do Living In Computational Geometry Developers typically work on, and how do these projects impact collaboration with other teams?

Living In Computational Geometry Developers often work on projects involving the development of algorithms and software for modeling, analyzing, and visualizing geometric data. This role requires frequent collaboration with teams such as CAD engineers, simulation experts, and UI/UX designers to ensure that the computational geometry solutions integrate seamlessly with broader product requirements. Developers might also contribute to research initiatives, prototype new features, and optimize existing geometric processing pipelines. Effective communication and teamwork are key, as project success often depends on integrating complex geometry algorithms into multi-disciplinary applications.

What does a Living In Computational Geometry Developer do?

A Living In Computational Geometry Developer specializes in designing, analyzing, and implementing algorithms and software that solve complex geometric problems, often in fields such as computer graphics, robotics, CAD, and geographic information systems. Their work involves working with data structures for points, lines, polygons, and other shapes, as well as optimizing computational efficiency for geometric queries and operations. They may also contribute to research, develop visualization tools, and collaborate with engineers and scientists to integrate geometric solutions into real-world applications.

What is the difference between Living In Computational Geometry Developer vs Living In Software Engineer?

AspectLiving In Computational Geometry DeveloperLiving In Software Engineer
Required CredentialsBachelor's or higher in Computer Science, Mathematics, or related field; knowledge of algorithms and geometryBachelor's or higher in Computer Science or related field; programming skills in various languages
Work EnvironmentSpecialized roles in tech, gaming, CAD, or GIS companiesBroad industry roles across tech, finance, healthcare, and more
Employer & Industry UsageUsed in industries requiring geometric computations and spatial dataWidely used across multiple industries for software development
Search & Comparison IntentPeople interested in geometric algorithms and spatial dataPeople exploring general software development careers

Living In Computational Geometry Developer focuses on geometric algorithms and spatial data, often in specialized industries, while Living In Software Engineer has a broader scope across various sectors. Both roles require programming skills and a computer science background, but their applications and industry focus differ.

More about Living In Computational Geometry Developer jobs
What cities are hiring for Living In Computational Geometry Developer jobs? Cities with the most Living In Computational Geometry Developer job openings:
What states have the most Living In Computational Geometry Developer jobs? States with the most job openings for Living In Computational Geometry Developer jobs include:
What job categories do people searching Living In Computational Geometry Developer jobs look for? The top searched job categories for Living In Computational Geometry Developer jobs are:
Living In Computational Geometry Developer jobs near you
Infographic showing various Living In Computational Geometry Developer job openings in the United States as of May 2026, with employment types broken down into 7% Full Time, 91% Part Time, and 2% Temporary. Highlights an 93% Physical, and 7% Remote job distribution, with an average salary of $76,580 per year, or $36.8 per hour.
Geometry/Meshing Engineer

Geometry/Meshing Engineer

Luminary Cloud

San Mateo, CA • On-site

Full-time

Posted 4 days ago

Job description

Luminary helps engineering companies be more competitive by getting to market faster, creating new, better products, and reducing development risk. We do this with our Physics AI platform, the fastest and easiest way to build and deploy models to understand and instantly predict physical reality with precision. Customers span industries from automotive and aerospace, to leading sporting equipment providers, including Otto Aviation, Joby Aviation, Piper Aircraft and Trek Bikes. Luminary is a Series B company and is headquartered in San Mateo, California.
In this role, you will:
  • Develop and productize novel computational geometry handling and meshing approaches for physics simulation (e.g., CFD, structural analysis, thermal simulation) and Physics AI workflows with a focus on automation.
  • Drive critical organizational initiatives by solving the toughest technical challenges related to geometry ingestion and mesh generation, delivering measurable value to customers.
  • Contribute to the long-term vision for geometry and meshing technology that is aligned with organizational goals.
  • Proactively identify and resolve significant technical risks to the company's long-term success, providing technical guidance to leadership on roadmapping and key technical trade-offs.
  • Contribute to cross-functional teams focusing on customer-centric problem solving.
  • Balance research innovation with practical implementation to enable new product capabilities.

Who you are:
  • Credentials / Experience: Ph.D. in Applied Mathematics, Computational Physics, Aerospace/Mechanical Engineering, or related discipline; 5+ years of software development experience (post PhD)in computational geometry and/or meshing with a strong track record of delivering customer value.
  • Technical Expertise: Deep, recognized expertise in computational geometry, meshing, or a related broad domain. Primary emphasis on experience with 3D, complex geometry from realistic, industry-grade applications. Exhibits flexibility in technical approach to ensure successful outcomes, regardless of physics domain or industry vertical.
  • Programming: Strong experience in writing production-level, performant code in C++ (C++17 or later). Experience with parallel programming via shared memory (OMP), MPI for distributed computing, or CUDA for GPUs is a plus. Proficient in Python. Enterprise-level software development and testing practices.
  • Operates at the intersection of business strategy and engineering reality, demonstrating the ability to work with customers directly to deliver successful outcomes while managing risks.
  • Acts as a force multiplier across the organization, evidenced by mentorship and sponsorship of colleagues toward greater ownership.
  • Thrives in a fast-paced startup environment, working collaboratively with low ego and clear communication.
  • Passionate about applying computational physics and AI to solve real-world engineering challenges.

Apply