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Modeling And Simulation Engineer Jobs in Ontario

Advocate for best practices among the modeling and simulation team * Document research activities ... Masters or PhD in Chemical Engineering, or a related technical field, with 1-4 years of research ...

Through red teaming and adversarial simulations, the team evaluates security controls, uncovers ... You'll leverage threat modeling, penetration testing, and research-driven techniques to emulate ...

Minimum of 5 years of experience in HFSS modeling and ADS * Expertise in designing passive ... Proficiency in MATLAB and other simulation tools * Lead the design and development of advanced ...

Research Engineer

Toronto, ON ยท On-site +1

CA$122K - CA$215K/yr

Senior engineers are welcome to apply. You will... - Prototype, evaluate, and iterate on solutions ... modeling and sensor simulation, integrating research findings into our self-driving system and ...

... modeling * Document design simulations and verifications towards formal design reviews * Drive ... Mentor junior design engineers Qualifications * MS with 12+ years of industry experience, OR Ph.D ...

... modeling, simulation, and design development. Collaborate with multidisciplinary teams to integrate transportation planning and engineering solutions into larger projects. Work closely with engineers ...

Systems Engineer

Ottawa, ON ยท On-site

CA$80K - CA$107K/yr

... modeling and simulation products. This role requires strong technical and data engineering skills, collaboration, and familiarity with Agile methodologies such as the SAFe (Scaled Agile Framework ...

Communication engineering (Hardware, Software and Network) or Specialty engineering (Security, Modeling and Simulation, ISR) * Software Engineering for Real-Time systems, Distributed Systems ...

Performance Architect, AI HW

Toronto, ON ยท On-site +1

CA$100K - CA$500K/yr

Deeply analytical engineer with strong intuition for AI workload behavior and system-level performance bottlenecks. * Experienced in C++ and Python for simulation, modeling, and performance analysis ...

Showing results 41-60

Modeling And Simulation Engineer information

What is a modeling and simulation engineer?

Modeling and Simulation Engineers are professionals who use mathematical models and computer simulations to analyze complex systems and predict their behavior. They work in various industries, including aerospace, defense, healthcare, and manufacturing, to improve product design, optimize processes, and support decision-making. Their work often involves creating virtual prototypes, running simulations to test different scenarios, and interpreting results to provide insights for engineering projects. These engineers typically have strong backgrounds in mathematics, physics, and computer science.

What are some common challenges a modeling and simulation engineer faces when integrating new models into existing systems?

A common challenge for Modeling and Simulation Engineers is ensuring that new models are compatible with existing simulation frameworks and data sources. This often involves resolving discrepancies in data formats, model fidelity, and simulation timing, as well as validating that the integrated system produces accurate and reliable results. Collaboration with software developers, data analysts, and subject matter experts is essential to troubleshoot integration issues and maintain system performance. Effective communication and thorough documentation are key to overcoming these integration hurdles.

What are the key skills and qualifications needed to thrive as a modeling and simulation engineer?

To thrive as a Modeling and Simulation Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency with simulation software (such as MATLAB, Simulink, or ANSYS), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex systems into accurate models and collaborating with multidisciplinary teams. These skills are crucial for ensuring the accuracy, reliability, and usability of simulations that inform critical engineering decisions.

What is the difference between Modeling And Simulation Engineer vs Systems Engineer?

AspectModeling And Simulation EngineerSystems Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; certifications like INCOSEBachelor's or Master's in Engineering, Systems Engineering, or related fields; certifications like INCOSE
Work EnvironmentDesigning and developing simulation models, testing scenarios in labs or software environmentsIntegrating system components, coordinating across engineering teams, often in project offices
Industry UsageDefense, aerospace, automotive, and manufacturing sectorsDefense, aerospace, IT, and complex system development industries

While both roles require engineering backgrounds and similar certifications, Modeling And Simulation Engineers focus on creating and testing simulation models, whereas Systems Engineers oversee the integration and functionality of entire systems. Both collaborate closely but serve different specialized functions within engineering projects.

What are popular job titles related to Modeling And Simulation Engineer jobs in Ontario? For Modeling And Simulation Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Modeling And Simulation Engineer jobs in Ontario look for? The top searched job categories for Modeling And Simulation Engineer jobs in Ontario are:
Infographic showing various Modeling And Simulation Engineer job openings in Ontario as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Process Modeller (Biologics)

Basetwo

Toronto, ON โ€ข On-site

Full-time

Posted 22 days ago


Job description

About Basetwo

Basetwo is building the AI layer for pharmaceutical and chemical manufacturing. Our AI-powered digital twin platform helps manufacturers accelerate the journey from lab to commercial production through faster scale-up/tech transfer, and de-risked quality control. Trusted by leading global manufacturers, we're bringing modern AI to one of the world's most complex and impactful industries. Our team combines expertise across chemical engineering, manufacturing, AI, and software to tackle high-impact industrial problems.

The Role

Simulation is at the heart of the Basetwo platform, and our science team is looking to bring on an expert in Process Modelling who will be able to make significant technical contributions to our process simulation engine. The Process Modeller will be responsible for developing mathematical models for the Basetwo platform to solve modelling and control applications in pharmaceuticals and biologics manufacturing. Our ideal candidate will partner with our Customer’s subject matter experts (SMEs) and our Engineering team to deliver product-driven simulation solutions to solve customer challenges.

What You’ll Do

As a Process Modeller, you will:

  • Work closely with customer’s SMEs to understand their process challenges, identify technical requirements and implement advanced modeling solutions
  • Research, develop and validate mathematical models for industrial processes in pharmaceuticals and biologics manufacturing
  • Contribute to product development as it relates to process simulation in collaboration with cross-functional teams, supporting roadmaps and feature iterations based on customer feedback
  • Advocate for best practices among the modeling and simulation team
  • Document research activities and model structure in well-structured product specification documents

Requirements


This role is a fit for someone whose core expertise is in bioprocesses and pharma/biologics manufacturing. To be successful in this role you will have:

  • Masters or PhD in Chemical Engineering, or a related technical field, with 1-4 years of research experience in modeling, optimization and control of bioprocesses
  • Hands-on experience with metabolic flux analysis (MFA) and/or dFBA is a strong asset
  • Strong foundation in core chemical engineering fundamentals, including chemical kinetics, thermodynamics, and transport phenomena is a must
  • Ability to develop research-grade code in Python leveraging scientific computing libraries
  • Demonstrated track record of starting and leading interdisciplinary research and engineering projects
  • Experience communicating projects to both technical and non-technical audiences, and working on cross-functional teams
  • Product-driven thinking - an ability to map customer pain points to product features