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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 ...

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 ...

Harvey Performance Company

Design Engineer

Rowley, MA · 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 May 30, 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 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 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 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 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:
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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:
What job categories do people searching Remote Computational Geometry Developer jobs look for? The top searched job categories for Remote Computational Geometry Developer jobs are:
Remote Computational Geometry Developer jobs near you
Infographic showing various Remote Computational Geometry Developer job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $136,257 per year, or $65.5 per hour.

Scientific AI Evaluation & Computational Problem Designer

Weekday AI

Remote

$45 - $100/hr

Part-time

Posted 25 days ago

Job description

This role is for one of our clients
Compensation: $45-$100 per hour
We are building a large-scale evaluation benchmark to test advanced AI reasoning across scientific and engineering domains. This role focuses on designing rigorous, research-grade computational problems that assess how effectively AI systems can leverage real scientific software tools to solve complex challenges.
Unlike traditional annotation roles, this position requires creating original, graduate-level problems rooted in real-world scientific workflows. You will iteratively refine these problems through calibration against state-of-the-art AI models, ensuring the right balance of difficulty, depth, and reasoning complexity.
Requirements
What You'll Do
  • Design advanced computational problems requiring the use of domain-specific scientific software
  • Create tasks that test both precise execution (multi-step workflows, simulations) and strategic reasoning (experiment design, inference from partial data)
  • Develop problem setups, solution pathways, and validation mechanisms
  • Calibrate and refine tasks based on model performance to achieve target difficulty levels
  • Ensure problems emphasize reasoning strategy over brute-force computation

Domains & Tools of Interest
We are particularly seeking candidates with hands-on experience in:
  • Bioinformatics & Single-Cell Genomics: scanpy, scvelo, squidpy, gudhi (RNA-seq, trajectory inference, spatial transcriptomics)
  • Computational Chemistry: PySCF (HF, DFT, TDDFT, CASSCF, post-HF methods)
  • Particle & Nuclear Physics: scikit-hep, Monte Carlo simulations, collider data analysis
  • Electrical Engineering: scikit-rf, ngspice (RF systems, circuit simulation)
  • Astrophysics & Cosmology: astropy (cosmological modeling, survey analysis)
  • Structural & Mechanical Engineering: scikit-fem (finite element analysis, elasticity, beam theory)
  • Seismology & Geophysics: ObsPy, SPECFEM (waveform analysis, inversion, tomography)
  • Pharmacokinetics & Systems Biology: libRoadRunner, Tellurium, SBML-based tools

Experience with other specialized tools in related domains is also welcomed.
What Makes You a Strong Fit
  • Graduate-level expertise (MS or PhD preferred) in a relevant STEM field
  • Hands-on experience using scientific software libraries for real research problems
  • Strong Python programming skills, including building computational workflows and validators
  • Ability to design challenging problems that require deep reasoning rather than surface-level solutions
  • Familiarity with edge cases, limitations, and practical challenges of scientific tools

Requirements
  • Demonstrated proficiency with at least one relevant scientific library (via research, open-source work, or industry experience)
  • Ability to work independently and iterate based on feedback
  • Comfort working in Linux/terminal environments and remote compute setups
  • Availability of at least 15-20 hours per week

Nice to Have
  • Experience across multiple domains or tools
  • Background in evaluation frameworks or benchmarking
  • Experience in teaching, pedagogy, or problem-set design
  • Familiarity with reproducible research practices and containerized environments

Engagement Details
  • Independent contractor role
  • Fully remote with flexible scheduling
  • Project scope may evolve based on performance and research needs

Compensation & Payments
  • Competitive compensation based on expertise and domain specialization
  • Weekly payments via supported global payment platforms

Additional Information
  • Work must not involve sharing confidential or proprietary information from any current or past employer or institution
  • Projects may be extended, modified, or concluded based on performance and business requirements
  • This opportunity does not currently support certain work authorization categories

Apply