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Remote Computational Design Jobs (NOW HIRING)

Chemify Ltd

Staff CADD Scientist

San Francisco, CA · On-site +1

San Francisco (hybrid) or fully remote from Boston / San Diego Travel: Regular travel to our ... Own the computational design approach on assigned programmes, from hit discovery through lead ...

Harvey Performance Company

Design Engineer

Gorham, ME · On-site +1

Develop and manage computational models and analysis tools in MATLAB to support performance ... This role is remote, with the expectation that candidates are located within a reasonable driving ...

Harvey Performance Company

Design Engineer

Rowley, MA · On-site +1

Develop and manage computational models and analysis tools in MATLAB to support performance ... This role is remote, with the expectation that candidates are located within a reasonable driving ...

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How much do remote computational design jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for remote computational design in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

How do remote computational designers typically collaborate with multidisciplinary teams to ensure project success?

Remote computational designers often work closely with architects, engineers, and software developers through digital collaboration tools such as BIM platforms, cloud-based modeling software, and video conferencing. Regular virtual meetings, shared digital workspaces, and clear documentation help maintain effective communication and project alignment. To overcome challenges posed by physical distance, it's important for remote designers to be proactive in updates, responsive to feedback, and adaptable to different time zones. This collaborative approach ensures that design intents are accurately translated into computational models and that all team members stay informed throughout the project lifecycle.

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

To thrive as a Remote Computational Designer, you need expertise in computational geometry, algorithm development, and digital modeling, usually backed by a degree in architecture, engineering, or a related field. Proficiency with tools such as Grasshopper, Rhino, Dynamo, and programming languages like Python or C# is essential, along with familiarity with collaboration platforms. Strong problem-solving, communication, and self-management skills help you excel in remote settings and interdisciplinary teams. These skills are crucial for creating innovative design solutions, efficiently collaborating across distances, and meeting complex project requirements.

What is remote computational design?

Remote computational design refers to the use of algorithms, programming, and digital tools to create and optimize design solutions while working from a location outside of a traditional office. Professionals in this field leverage software like Grasshopper, Rhino, or Autodesk Dynamo to automate and enhance the design process for architecture, engineering, or product development. Working remotely, these designers collaborate with teams and clients through digital communication platforms, enabling flexibility and global cooperation.
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Remote Computational Design jobs near you

Computational Design Research Engineer

Foundation EGI

Boston, MA • Remote

$100K - $140K/yr

Full-time

Posted 4 days ago

New

Job description

REQUIRED: MUST have experience with Code Development + Computational Design and/or Geometry Processing. Applicants will not be considered without this experience.
 
About Us:
 
We are an 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.
 
 

On this Role:

This role is a mix of a few worlds coming together. You’ll be working with machine learning but not in a vacuum it’s applied to real engineering problems, working with 2D and 3D data from CAD, CAE, and CAM systems. A big part of the work is taking complex geometry, design workflows, and simulation data and figuring out how to turn that into something an AI system can actually understand and use.

We’re looking for someone who’s strong technically, especially in Python and ML, but also has the curiosity to dig into how things are designed and built in the real world. You might come from a research background or industry but either way you’re comfortable moving between theory and practical application. If you’ve spent time around mechanical systems or engineering design, that’s a big plus, because a lot of this role is about bridging that gap between advanced models and how engineers actually work day to day.

 
Responsibilities
  • Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
  • Build services for reading, processing, and writing 2D/3D engineering data.
  • Develop rendering modules for generating 2D/3D visual assets.
  • Curate and manage large-scale datasets for learning-based systems.
  • Implement and optimize post-training workflows for machine learning models.
  • Contribute to the development of domain-specific languages for engineering tasks.
What we are looking for
  • 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages.
  • Proficient in writing clean, modular, and maintainable Python code.
  • Experience with dataset creation and data pipeline development.
  • PhD or MS with a focus in Computational Design, Simulation, or AI.
  • Experience developing CAD/CAM/CAE software tools.
  • Experience developing or fine-tuning large language models (LLMs), including post-training methods such as quantization, pruning, distillation, or reinforcement learning.
  • Experience designing or implementing DSLs or compilers.

This range represents base compensation only and is intended to provide flexibility for candidates with varying levels of experience, expertise and demonstrated impact. Final compensation will be determined based on factors including skills, experience, location,and overall alignment with the role.

In addition to base salary, eligible employees may receive:

• Equity participation in the company's long-term success
• Comprehensive benefits package including medical, dental and vision coverage
• Retirement savings benefits
• Generous paid time off and company holidays
• Remote-first work environment
• Fully funded company offsites and team gatherings
• Professional development and learning opportunities
• Home office support and remote work resources

We believe compensation should grow alongside impact. Our salary ranges are intentionally designed to provide room for career progression, increased scope of responsibility and continued growth within Foundation EGI.

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.