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Remote Computational Geometry Developer Jobs in Chicago, IL

Senior Track Engineer

Chicago, IL ยท On-site +1

$107K - $147K/yr

Perform track geometry analysis and develop rehabilitation or maintenance recommendations ... Flexible Work Schedules (Hybrid or Remote, when possible) * Wellness Program for Physical and ...

AI Integration Developer

Lemont, IL ยท On-site +1

$50 - $80/hr

... datasets for computational analysis using approved LLMs. The position focuses on automation ... The work schedule is primarily remote, with a requirement to be on-site between 20-40% of the time.

Computer Scientist/AI

Lemont, IL ยท On-site +1

$94K - $147K/yr

Educational background in computer science, computational science, a physical science, engineering ... Remote Work - Occasionally Onsite": which applies to employees typically working more than 60% of ...

Data Scientist II, Outcomes Research

Chicago, IL ยท On-site +1

$100K - $150K/yr

Demonstrated computational skills using R and SQL, specifically applied to large-scale healthcare ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Designer II

Chicago, IL ยท On-site +1

$62K - $78K/yr

Some experience in computational design tools such as Grasshopper and Dynamo preferred. * Actively ... We have paid time off, flex-time schedules, remote work options and a 401k plan and employee perk ...

Remote Computational Geometry Developer information

See Chicago, IL salary details

$48.4K

$140.4K

$319.3K

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

As of Jun 13, 2026, the average yearly pay for remote computational geometry developer in Chicago, IL is $140,365.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $159,700.00 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.
What are the most commonly searched types of Computational Geometry Developer jobs in Chicago, IL? The most popular types of Computational Geometry Developer jobs in Chicago, IL are:
What are popular job titles related to Remote Computational Geometry Developer jobs in Chicago, IL? For Remote Computational Geometry Developer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Computational Geometry Developer jobs in Chicago, IL look for? The top searched job categories for Remote Computational Geometry Developer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Computational Geometry Developer jobs? Cities near Chicago, IL with the most Remote Computational Geometry Developer job openings:

Particle Physics Computational Problem Designer - AI Trainer

Mercor

Chicago, IL โ€ข On-site, Remote

$70 - $100/hr

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


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: STEM Computational Scientific Software & Evaluation Design - Particle & Nuclear Physics
Type: Contract
Compensation: $70โ€“$100/hour
Location: Remote
Commitment: 15โ€“20 hours/week

Role Responsibilities

  • Design graduate-level computational problems using domain-specific scientific software libraries.
  • Develop problems that test AI systems' ability to solve research-grade challenges.
  • Calibrate problems against frontier AI models and iterate until difficulty is optimal.
  • Evaluate complex scientific workflows and refine problem setups for accuracy.
  • Collaborate independently to enhance AI model performance and reasoning.
  • Utilize scikit-hep and related HEP Python tools for data analysis and computations.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent).
  • Proficiency with scientific software libraries, evidenced by research or professional work.
  • Strong Python programming skills for problem setups and solution validation.
  • Ability to work independently and iterate based on feedback.
  • Comfortable in a Linux/terminal environment with remote compute sandboxes.
  • Available for 15โ€“20 hours/week.

Preferred

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

Application Process (Takes 20โ€“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.


#hiringmercor