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Modeling And Simulation Engineer Jobs in Ontario

You'll work directly with customer stakeholders - from process engineers to plant leadership - to understand manufacturing challenges, analyze process data, develop simulation models and drive ...

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 ...

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 ...

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 ...

Robotic AI Engineer

Ottawa, ON · On-site

CA$75K - CA$110K/yr

Build data pipelines for training, evaluation, and deployment of models * Create simulation ... Strong programming skills in Python * Experience with machine learning frameworks (PyTorch ...

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

Champion engineering excellence, ensuring high-quality, well structured and tested code ... modeling and sensor simulation, integrating research findings into our self-driving system and ...

... modeling and simulation systems. * Experience supporting business capture, strategic pursuits, proposal development, or defense acquisition programs. * Experience in large-scale defense, engineering ...

... 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 ...

Systems Engineer

Ottawa, ON · 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 ...

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 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 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 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.

Are modeling and simulation engineers in demand?

Modeling and simulation engineers are in high demand across industries such as aerospace, defense, automotive, and healthcare due to their expertise in developing complex models and simulations. The role often requires proficiency in programming, simulation software, and systems analysis, with job growth driven by technological advancements and increased reliance on virtual testing and training tools.

How to become a modeling and simulation engineer?

To become a modeling and simulation engineer, typically a bachelor's degree in engineering, computer science, or a related field is required, often complemented by experience with simulation software, programming languages, and systems modeling. Advanced roles may require a master's degree or higher, along with skills in data analysis, systems engineering, and familiarity with tools like MATLAB, Simulink, or C++. Certifications in systems modeling or simulation can enhance job prospects.

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 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

DSP - FEC Design Engineer

Ottawa, ON • On-site

CA$150K - CA$250K/yr

Full-time

Re-posted 26 days ago


Job description

About the Role: 

Celero Communications Inc. is an exciting and fast-growing start-up in the semiconductor industry, pushing boundaries with innovative technologies that power the world's most advanced AI and data center infrastructure.

We are looking for skilled and motivated engineers to join our team and help us build optical transceivers for next-generation optical modems. The ideal candidate must have a strong theoretical background in coding theory, digital communications, and error correction techniques, with experience developing high-performance forward error correction (FEC) algorithms for high-speed communication systems. Candidates with industry experience are preferred.

Locations: Ottawa, Ontario, Canada and Vancouver, British Columbia, Canada

Key Responsibilities

  • Research, develop, and evaluate forward error correction (FEC) schemes for high-speed optical communication systems.
  • Design and optimize soft-decision FEC algorithms suitable for high-throughput optical modem implementations.
  • Develop and evaluate coding schemes such as LDPC, staircase codes, or related high-performance FEC architectures.
  • Model and simulate FEC performance in optical communication systems, including interaction with DSP blocks and channel impairments.
  • Analyze performance trade-offs including coding gain, latency, throughput, and implementation complexity.
  • Develop floating-point and fixed-point simulation models for algorithm verification.
  • Implement bit-accurate and cycle-accurate models supporting ASIC implementation.
  • Collaborate closely with DSP, ASIC, firmware, and verification teams to ensure efficient hardware implementation.
  • Document algorithm design and simulation results.

Preferred Qualifications

  • Master's or Ph.D. degree in Electrical Engineering, Mathematics, Computer Engineering, or related field.
  • Strong background in coding theory and error correction algorithms.
  • Experience with FEC schemes for communication systems, particularly soft-decision FEC.
  • Familiarity with LDPC, staircase codes, product codes, or related modern FEC techniques.
  • Experience evaluating coding gain, BER performance, and decoder complexity.
  • Programming experience in C/C++, Python, MATLAB, or similar languages.
  • Experience in modeling communication systems.
  • Familiarity with DSP algorithms for communication systems.
  • Experience with version control systems, specifically GitHub.
  • Familiarity with hardware implementation considerations and languages such as Verilog or VHDL is a plus.
  • Team player with a mindset focused on the successful delivery of the first product.

Why Join Us

  • The chance to play a foundational role at a high-growth semiconductor start-up.
  • Work on cutting-edge optical communication technologies powering AI and hyperscale data centers.
  • A collaborative, international team culture where ideas and initiative are valued.
  • The opportunity to grow alongside Celero as we scale and shape the future of our industry.

Salary Range

$150,000 - $250,000 Base Annually 
The final offer will be determined based on job-related skills, experience, qualifications, and location.