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Remote Computational Geometry Developer Jobs (NOW HIRING)

Computational Structural & Mechanical Engineering Expert Type: Contract Compensation: $70-$85/hour Location: Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging ...

This is a fully remote, full-time engagement requiring approximately 35 hours per week ... programming and data analysis. * Minimum 1 year of experience in an active research role within ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The CFD Division Head will lead a premier group of approximately fifteen of engineers and research ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The CFD Division Head will lead a premier group of approximately fifteen of engineers and research ...

Generative AI CAD Engineer

Emeryville, CA ยท On-site +1

$210K - $260K/yr

You will join a tight cross-functional team dedicated to pushing the limits of computational design ... Knowledge of AI-based CAD generation, generative models for 3D geometry, or generative design ...

Remote - PST Prefered Qualified candidates can directly send your updated resume and contact info ... Collaborate with linguists, data ops, and ML engineers on data collection, curation, annotation ...

New

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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 Aug 20, 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.

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:

What are the most commonly searched types of Computational Geometry Developer jobs?

The most popular types of Computational Geometry Developer jobs are:

What states have the most Remote Computational Geometry Developer jobs?

States with the most job openings for Remote Computational Geometry Developer jobs include:

Infographic showing various Remote Computational Geometry Developer job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 2% Part Time, and 16% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $136,257 per year, or $65.5 per hour.

Computational Mechanics Expert - PhD

Mercor

New York, NY โ€ข Remote

$70 - $85/hr

Full-time

Posted 6 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Computational Structural & Mechanical Engineering Expert
Type: Contract
Compensation: $70–$85/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI capabilities in solving scientific and engineering tasks.
  • Develop problems requiring skilled use of open-source, domain-specific computational tools like FEniCSx/DOLFINx, OpenFOAM, deal.II, and others.
  • Evaluate AI models by testing them against state-of-the-art benchmarks and refine problems to achieve the desired difficulty.
  • Collaborate with AI research teams to improve problem designs and ensure they test strategic reasoning and problem-solving.
  • Work independently and asynchronously to meet deadlines and refine problem designs based on feedback.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with at least one of the listed scientific software libraries through research publications, open-source contributions, or professional work.
  • Strong Python skills for writing problem setups, oracle functions, and solution validators.
  • Ability to work independently and refine problem designs based on feedback.
  • Comfortable working in a Linux/terminal environment with remote compute sandboxes.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.