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Computational Design Jobs in Ontario (NOW HIRING)

Mercor

Computational Seismology Expert - PhD

Toronto, ON · On-site +1

CA$70 - CA$85/hr

Design challenging computational problems to evaluate AI capabilities in solving scientific tasks. * Develop problems requiring the use of specialized scientific software like SPECFEM , ObsPy , and ...

New

Mercor

Computational Statistics Expert - PhD

Toronto, ON · Remote

CA$70 - CA$90/hr

Design challenging computational problems using specialized statistical, mathematical, or scientific software packages. * Evaluate AI's ability to compute reproducible numerical answers and carry out ...

New

Perkins & Will

Digital Practice Manager

Toronto, ON · On-site

CA$94K - CA$125K/yr

  • Medical

  • Dental

Working knowledge of Design Visualization, Virtual Reality, Computational Design and Environmental Analysis applications * High-level of proficiency leveraging Rhino, Revit and Grasshopper in the ...

Perkins & Will

Digital Practice Manager

Ottawa, ON · On-site

CA$94K - CA$125K/yr

  • Medical

  • Dental

Working knowledge of Design Visualization, Virtual Reality, Computational Design and Environmental Analysis applications * High-level of proficiency leveraging Rhino, Revit and Grasshopper in the ...

Autodesk

Uniquely, decades of investment in physics simulation engines, CAD kernels, and computational design tools give us something most labs don't have: high-fidelity, domain-grounded verifiers that can ...

Manifold Bio

CA$140K - CA$225K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design and execute ML experiments with clear hypotheses and rigorous analysis * Optimize model performance and computational efficiency for large-scale protein design tasks * Build tools and ...

Shotover Systems

Mechanical Designer/Engineer

Hamilton, ON · On-site

$80K - $120K/yr

  • PTO

Ability to conduct sound structural and thermal analysis (Finite Element Analysis & Computational Fluid Dynamics). * Deep understanding of electro-mechanical precision drive design principles.

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Computational Design information

See Ontario salary details

$26K

$98.1K

$180K

How much do computational design jobs pay per year?

As of Aug 16, 2026, the average yearly pay for computational design in Ontario is $98,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in computational design, and why are they important?

To thrive in Computational Design, a strong background in mathematics, programming, and design principles is essential, often supported by a degree in architecture, engineering, computer science, or a related field. Proficiency in software tools such as Rhino, Grasshopper, Python, MATLAB, and CAD platforms is typically required, along with relevant certifications in parametric or generative design if available. Strong problem-solving skills, creative thinking, and the ability to collaborate across multidisciplinary teams help candidates excel in this position. Mastery of these skills enables the creation of innovative, efficient solutions for complex design challenges and facilitates effective teamwork within fast-moving project environments.

What does a typical day look like for someone working in computational design?

A typical day in Computational Design involves using specialized software to develop, test, and refine design algorithms that solve spatial or structural problems. You might collaborate with architects, engineers, or product designers to create digital prototypes, analyze performance data, and implement feedback for iterative improvement. Much of the work is project-based and requires frequent teamwork and meetings to align goals and ensure smooth integration of computational solutions into larger projects. Expect a dynamic environment where problem-solving and creativity are highly valued, and learning opportunities are ongoing as you stay up-to-date with new tools and methods.

Is computational design a good career?

Computational design is a growing field that combines design skills with programming and data analysis, often requiring knowledge of software like Rhino, Grasshopper, or Python. It offers opportunities in architecture, product design, and engineering, with a focus on innovation and problem-solving. Job prospects depend on industry demand, technical proficiency, and the ability to adapt to new tools and technologies.

What is a computational design?

A Computational Design job involves using algorithms, programming, and digital tools to create and optimize designs across various disciplines such as architecture, engineering, and product design. Professionals in this field leverage parametric modeling, generative design, and automation to enhance efficiency and innovation. They often work with software like Grasshopper, Dynamo, Python, or machine learning frameworks to solve complex design challenges. This role blends creativity with technical expertise to develop smarter, data-driven design solutions.

What are popular job titles related to Computational Design jobs in Ontario?

For Computational Design jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Computational Design jobs in Ontario look for?

The top searched job categories for Computational Design jobs in Ontario are:

Computational Design jobs near you
Infographic showing various Computational Design job openings in Ontario as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $98,079 per year, or $47.2 per hour.

Computational Seismology Expert - PhD

Mercor

Toronto, ON • On-site, Remote

CA$70 - CA$85/hr

Full-time

Posted yesterday

New

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 Seismology & Geophysics Expert
Type: Contract
Compensation: $70–$85/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to evaluate AI capabilities in solving scientific tasks.
  • Develop problems requiring the use of specialized scientific software like SPECFEM, ObsPy, and Pyrocko.
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty.
  • Collaborate on AI model training, evaluation, and improvement in computational seismology.
  • Work independently and asynchronously to 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 scientific software library (SPECFEM, ObsPy, etc.).
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work independently in a Linux/terminal environment.
  • Available for at least 15–20 hours per week.

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.