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Remote Computational Design Architecture Jobs (NOW HIRING)

Computational Designer

Los Angeles, CA · On-site +1

$75K - $110K/yr

Bachelor's degree in Architecture, Landscape Architecture, Planning, Interior Design, Engineering, Computational Design, or related field * Minimum of 3 years of progressive experience with Rhino and ...

Computational Designer

Tustin, CA · On-site +1

$75K - $110K/yr

Bachelor's degree in Architecture, Landscape Architecture, Planning, Interior Design, Engineering, Computational Design, or related field * Minimum of 3 years of progressive experience with Rhino and ...

Computational Designer

Dallas, TX · On-site +1

$75K - $110K/yr

Bachelor's degree in Architecture, Landscape Architecture, Planning, Interior Design, Engineering, Computational Design, or related field * Minimum of 3 years of progressive experience with Rhino and ...

Architecture Lead, Ready to Build

$56.50 - $77.50/hr

Higharc is seeking an accomplished Architecture Lead to build the design system that will power a ... computational design tools like Grasshopper or Dynamo Working at Higharc Higharc has been remote ...

AI CAD Engineer

Emeryville, CA · On-site +1

$210K - $260K/yr

... computational design. This position is onsite in our Emeryville, CA office, with openness to an ... or architectural responsibility over time. What You'll Do: * Build CAD workflows that ...

... computational design. This position is onsite in our Emeryville, CA office, with openness to an ... or architectural responsibility over time. What You'll Do: * Build CAD workflows that ...

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Remote Computational Design Architecture information

See salary details

$159.5K

$175K

$189K

How much do remote computational design architecture jobs pay per year?

As of Jul 21, 2026, the average yearly pay for remote computational design architecture in the United States is $175,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $167,500.00 and $182,500.00 per year, depending on experience, location, and employer.

What is remote computational design architecture?

Remote computational design architecture involves using advanced computer algorithms and software to create and optimize architectural designs, all while working from a location outside of a traditional office. Professionals in this field use tools like parametric modeling, generative design, and scripting to solve complex architectural problems and improve design efficiency. Working remotely allows these specialists to collaborate with teams globally, leveraging digital communication and cloud-based platforms. This approach is increasingly popular as it offers flexibility and access to a wider talent pool, while still delivering innovative architectural solutions.

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

To thrive as a Remote Computational Design Architect, you need expertise in architectural design, parametric modeling, and computational methods, typically supported by a degree in architecture or a related field. Proficiency in software like Rhino, Grasshopper, Revit, and scripting languages such as Python or C# is essential, along with experience in BIM systems. Strong problem-solving, collaboration, and self-management skills are crucial for standing out, especially in remote and interdisciplinary environments. These skills and qualities enable the creation of innovative architectural solutions, efficient workflows, and effective communication across distributed teams.

How does a Remote Computational Design Architect typically collaborate with project teams and stakeholders?

Remote Computational Design Architects use advanced digital tools and cloud-based platforms to collaborate seamlessly with architects, engineers, and clients across different locations. Regular virtual meetings, shared 3D models, and real-time design feedback are standard practices, ensuring efficient communication and alignment. While the remote setting offers flexibility, it also requires strong self-management and proactive communication to keep projects on track and resolve design challenges promptly. Building strong relationships through clear documentation and consistent updates is key to thriving in this role.
More about Remote Computational Design Architecture jobs
What cities are hiring for Remote Computational Design Architecture jobs? Cities with the most Remote Computational Design Architecture job openings:
What are the most commonly searched types of Computational Design Architecture jobs? The most popular types of Computational Design Architecture jobs are:
What states have the most Remote Computational Design Architecture jobs? States with the most job openings for Remote Computational Design Architecture jobs include:
Infographic showing various Remote Computational Design Architecture job openings in the United States as of July 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% Remote job distribution, with an average salary of $175,000 per year, or $84.1 per hour.

Computational Design Research Engineer

Foundation EGI

Boston, MA • Remote

$100K - $140K/yr

Full-time

Posted 14 days ago


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.