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Remote Computational Geometry Developer Jobs (NOW HIRING)

$133K - $175K/yr

Experience with computational and procedural mesh geometry. * Previous development of user-facing ... Generate is remote work first, but we are also willing to discuss relocation to Boston ...

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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 Sep 13, 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 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.

What are the key skills and qualifications needed to thrive as a remote computational geometry developer?

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 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 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.

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Infographic showing various Remote Computational Geometry Developer job openings in the United States as of September 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution, with an average salary of $136,257 per year, or $65.5 per hour.

Full Stack Engineer

Washington, DC • On-site, Remote

$120/hr

Full-time

Posted 12 days ago


Job description

An established strategy consulting firm is looking for a remote full stack engineer to join the team behind its geospatial intelligence platform for telecom network analytics. The platform has been in production for over a decade (Java, React, PostgreSQL/PostGIS) and is now being rebuilt into an AI-first system with interactive analytics, richer reporting, and next-generation fiber network design at national scale.

  • Build features across the front end, backend services, and geospatial data stores that support automated network design and national-scale data exploration
  • Improve algorithms for fiber network planning, including geospatial analysis, routing, clustering, and cost modeling
  • Refactor the architecture to separate core domain logic from IO and orchestration so it can be reused across workflows
  • Prototype AI-assisted analysis and agentic workflows that help users interrogate network designs and financial outcomes
  • Build reporting outputs that combine maps, charts, tables, and engineering or financial narratives into shareable analyses
  • Take work from proof of concept through production, with tests, observability, and performance tuning along the way

What you need:

  • 5+ years of full stack engineering, ideally on data-intensive, geospatial, analytics, or infrastructure planning platforms
  • Advanced JavaScript/TypeScript with deep React experience
  • Strong backend engineering in Java, Node.js, or Python, with the ability to design APIs and domain models
  • Experience with PostgreSQL, PostGIS, and spatial data or large-scale data processing
  • Comfort with graph and network theory, routing, optimization, and computational geometry
  • Solid architecture instincts around modularity and composable system design

Nice to have: telecom or fiber network planning background, experience with mapping libraries like D3.js, deck.gl, or Mapbox, exposure to LLM or agentic development workflows, and cloud/container experience with Docker, Kubernetes, or Terraform.

Comp and logistics:
$120-180K annually or $60-100/hour, contract. Initial 3 month term. Remote-first, globally distributed team.