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Remote Computational Geometry Developer Jobs (NOW HIRING)

Higharc

Research Engineer

Experience with 3D modeling, computational geometry, or computer graphics in a research or ... Working at Higharc Higharc has been remote first since our founding in 2018. We offer flexible ...

Cellanome

Machine Learning Engineer

The Machine Learning Engineer will collaborate with various teams to develop algorithms for data ... computational geometry components. • Develop signal-processing and image-analysis algorithms ...

Solventum

ENGR SR COMPUTATIONAL LINGUIST

Pittsburgh, PA · On-site +1

$106K - $145K/yr

Senior Computational Linguist (Solventum) 3M Health Care is now Solventum At Solventum, we enable ... Remote Relocation Assistance: Not available Must be legally authorized to work in country of ...

Harvey Performance Company

Design Engineer

Gorham, ME · On-site +1

Develop and manage computational models and analysis tools in MATLAB to support performance ... Ensure precise transfer of geometry, program data, and BOM structures into crossfunctional systems ...

Harvey Performance Company

Design Engineer

Meridian, ID · On-site +1

Develop and manage computational models and analysis tools in MATLAB to support performance ... Ensure precise transfer of geometry, program data, and BOM structures into crossfunctional systems ...

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Remote Computational Geometry Developer information

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$47K

$136.3K

$310K

How much do remote computational geometry developer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote computational geometry developer in the United States is $136,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $155,000.00 per year, depending on experience, location, and employer.

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

AspectRemote Computational Geometry Developer

Remote Computational Geometry Developers focus on algorithms and data structures related to geometric computations, often requiring specialized knowledge in computational geometry, mathematics, and programming. They typically work in industries like CAD, GIS, or robotics, often in a remote setting. Remote Software Engineers have a broader scope, working on various software applications across industries, with less emphasis on geometric algorithms. Both roles may require similar programming skills and remote work experience, but the core focus differs significantly.

What are some common challenges faced by remote computational geometry developers, and how can they be addressed?

Remote computational geometry developers often face challenges such as collaborating effectively with distributed teams, ensuring code consistency, and managing complex mathematical algorithms without immediate in-person support. To overcome these, regular virtual meetings, clear documentation, and the use of collaborative development tools like version control systems are essential. Additionally, leveraging online forums and peer code reviews can help maintain high-quality work and foster ongoing learning.

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

To thrive as a Remote Computational Geometry Developer, you need strong mathematical foundations in computational geometry, proficiency in programming languages like C++, Python, or Java, and typically a degree in computer science or a related field. Familiarity with algorithm libraries (such as CGAL), version control systems (like Git), and cloud-based collaboration tools is essential. Excellent problem-solving skills, attention to detail, and clear communication are important soft skills for collaborating remotely and tackling complex geometric challenges. These combined skills ensure you can efficiently develop robust algorithms, collaborate with distributed teams, and deliver accurate, high-performance solutions.

What is a Remote Computational Geometry Developer?

A Remote Computational Geometry Developer is a software engineer who specializes in designing, developing, and optimizing algorithms that solve geometric problems, such as collision detection, mesh generation, or spatial analysis. This role involves working remotely, often collaborating with teams in fields like computer graphics, robotics, CAD, or GIS. Developers in this area typically use programming languages like C++, Python, or Java and apply advanced mathematical concepts to create efficient and scalable geometric solutions.
More about Remote Computational Geometry Developer jobs
What cities are hiring for Remote Computational Geometry Developer jobs? Cities with the most Remote Computational Geometry Developer job openings:
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What states have the most Remote Computational Geometry Developer jobs? States with the most job openings for Remote Computational Geometry Developer jobs include:
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Remote Computational Geometry Developer jobs near you
Infographic showing various Remote Computational Geometry Developer job openings in the United States as of July 2026, with employment types broken down into 77% Full Time, 3% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $136,257 per year, or $65.5 per hour.

Mechanical Design Integrations Backend Engineer

Foundation EGI

Boston, MA • Remote

$110K - $175K/yr

Full-time

Posted 3 days ago

New

Job description

You'll build the software that connects engineering intelligence to the world's leading CAD platforms.

If you've ever written Python that automated Siemens NX, CATIA, SOLIDWORKS, or Creo—or built backend services that process engineering design data—you'll likely find this work exciting.

You'll design APIs, integrate CAD systems with cloud-native infrastructure, and build the backend powering AI-driven engineering workflows used to accelerate product design and manufacturing.

This role combines software engineering, CAD automation, backend architecture and mechanical engineering in ways that are rarely found together

ABOUT US: We are a MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'—an AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.
 
 
 
Responsibilities

                                                                 You'll help build systems that:

    • Translate CAD models into machine-readable engineering data.
    • Connect Siemens NX, CATIA, SOLIDWORKS and other CAD platforms with cloud-native AI services.
    • Build scalable APIs that allow engineering applications to exchange geometry and metadata.
    • Develop Python services that automate complex engineering workflows.
    • Design backend systems that manage CAD assemblies, parts, configurations and engineering metadata.
    • Partner with researchers building next-generation Engineering AI.
What we're looking for
 
  • BS/MS in Mechanical Engineering, Computer Science, Software Engineering, or a related technical field.
  • 5+ years of experience building and maintaining backend services and production software.
  • Strong Python engineering skills with experience writing clean, scalable, and maintainable code.
  • Experience developing software integrations using commercial CAD APIs, such as Siemens NX Open, CATIA, SOLIDWORKS API, Creo Toolkit, Autodesk Inventor API, or similar engineering platforms.
  • Experience building cloud-native applications, backend APIs, and data models (including Protobuf).
  • Experience working with 3D engineering data, CAD models, assemblies, and related engineering file formats.
  • Strong written and verbal communication skills with the ability to collaborate across engineering, research, and product teams.

  • You've built software using at least one commercial CAD API:

      • Siemens NX Open
      • CATIA 
      • SOLIDWORKS API
      • Creo Toolkit
      • Autodesk Inventor API
Bonus Points
  • Experience developing CAD automation tools, plugins or engineering software integrations.
  • Familiarity with computational geometry, CAD workflows, PLM systems, or engineering data pipelines.
  • Experience working with large-scale 3D models, assemblies or complex engineering datasets.
  • Strong programming experience in C++ alongside Python.
  • Experience designing and implementing gRPC-based APIs and distributed services.
  • Experience building and deploying applications using Docker and Google Cloud Platform (GCP).
  • Experience implementing logging, monitoring, observability, and production debugging practices.
  • Experience partnering with mechanical engineers, researchers, or AI/ML teams to build engineering applications.
  • Passion for building software at the intersection of CAD, Mechanical Engineering, Backend Systems, and Engineering AI.
Our tech stack
  • Google Cloud
  • Python, TypeScript
  • Protobuf, gRPC
  • Next.JS, React.JS
  • GitHub Actions
  • Docker, Kubernetes, Spinnaker
  • PostgreSQL

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.