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Modeling And Simulation Jobs in Alberta (NOW HIRING)

Roles and Responsibilities Develop and improve simulation algorithms, process models, and numerical methods used for time-dependent (dynamic/transient) process systems. Design, implement, test ...

Model and Solver Development * Lead the development of physics-based models and numerical solvers ... Use simulation results to inform design reviews and assess the impact of design changes on system ...

... modeling/simulation, and management of change to scope and build solutions that fit real operating processes Apply Windows server setup and configuration, OPC server setup and configuration, and HMI ...

Your work will directly support and enable the evolution of our cloud-based platform, SaaS products, simulation and optimization models, and AI/ML/Data development and deployment. Your role is ...

... in simulation-based and production environments * Algorithm Design: Create and help maintain tools for data analysis, system identification, empirical and physics-based model tuning * System ...

Familiarity with Isaac Sim / Omniverse or similar simulation tools. * Coursework, research, or side projects involving VLA models, LLMs, or machine learning for robotics. * Any exposure to industrial ...

Associate Analog Design Engineer

Calgary, AB ยท On-site

CA$70K - CA$75K/yr

You will be using advanced EDA/simulation tools and will have the opportunity to contribute to ... device models, parasitics and other non-idealities affecting circuit performance. * Good ...

Experience supporting manufacturing simulation by developing input models, interpreting simulation results, and translating findings into practical production improvements. * Strong analytical and ...

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Modeling And Simulation information

What is a modeling and simulation job?

Modeling and simulation jobs involve creating digital or mathematical models to represent real-world systems, processes, or phenomena, and then using simulations to analyze their behavior under various scenarios. Professionals in this field use specialized software and computational techniques to predict outcomes, optimize designs, and inform decision-making in industries like engineering, defense, healthcare, and manufacturing. These roles often require strong analytical skills, proficiency in programming, and a background in mathematics or science. Modeling and simulation experts help organizations save time and resources by testing ideas virtually before applying them in real life.

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

To thrive as a Modeling and Simulation Specialist, you need strong analytical abilities, proficiency in mathematics, and a background in computer science or engineering, often supported by a relevant degree. Expertise with simulation software (such as MATLAB, Simulink, or Arena), programming languages (like Python or C++), and knowledge of modeling standards is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate models, effective simulations, and actionable insights that drive decision-making in complex systems.

What are some common challenges faced by professionals in modeling and simulation roles, and how can they be addressed?

Professionals in Modeling and Simulation often encounter challenges such as integrating complex data from multiple sources, ensuring model accuracy, and communicating technical results to non-technical stakeholders. Addressing these challenges typically involves close collaboration with subject matter experts, ongoing model validation and verification, and using clear visualizations to explain insights. Building strong interdisciplinary communication skills and staying current with evolving simulation tools can also help professionals effectively navigate these challenges.

What is the difference between Modeling And Simulation vs Data Analyst?

AspectModeling And SimulationData Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; often certifications in simulation softwareBachelor's in statistics, mathematics, or related fields; certifications in data analysis tools
Work EnvironmentResearch labs, engineering firms, government agenciesBusiness, finance, healthcare, or tech companies
Industry UsageEngineering, defense, aerospace, manufacturingFinance, marketing, healthcare, technology
Common Search & ComparisonModeling And Simulation vs Data Analyst

While both roles involve data and technical skills, Modeling And Simulation focuses on creating models to predict and analyze systems, often in engineering or scientific contexts. Data Analysts interpret data to inform business decisions. The roles share skills but differ in application and industry focus.

What are popular job titles related to Modeling And Simulation jobs in Alberta?

For Modeling And Simulation jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Modeling And Simulation jobs in Alberta look for?

The top searched job categories for Modeling And Simulation jobs in Alberta are:

What cities in Alberta are hiring for Modeling And Simulation jobs?

Cities in Alberta with the most Modeling And Simulation job openings:

Infographic showing various Modeling And Simulation job openings in Alberta as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Process Simulation Software Developer

Calgary, AB โ€ข On-site

SLB
Internet and ITย โ€ขย 10K+ employees

Full-time

Posted 8 days ago


Job description

SLB is seeking a proactive and technically strong individual to join our Dynamics team in Calgary, Alberta as a Process Engineering Simulation Software Developer. In this role, you will apply process engineering, numerical methods, software development, and emerging AI technologies to develop and improve high-fidelity simulation technology used to model complex process systems across oil & gas, LNG, refining, carbon capture, hydrogen, and emerging energy applications. We are looking for someone who enjoys tackling complex process engineering, numerical, and software development problems and developing the technology behind simulation software.

The ideal candidate has hands-on experience with numerical algorithms, numerical solvers, simulation engines, or scientific software, rather than experience primarily focused on using commercial simulation products. This role offers the opportunity to work across the full development lifecycle, from algorithm design and implementation to testing, validation, and deployment, while developing robust and high-performance solutions for time-dependent process systems. You will also have opportunities to explore AI, machine learning, and data-driven techniques to enhance simulation workflows and engineering productivity.

The primary focus of the role remains process engineering, numerical simulation, and software development. Roles and Responsibilities Develop and improve simulation algorithms, process models, and numerical methods used for time-dependent (dynamic/transient) process systems. Design, implement, test, validate, and document simulation capabilities across the full product development lifecycle.

Build clean, maintainable, and high-performance code primarily in C++ and Python, including supporting tools and workflows. Apply numerical methods with attention to stability, accuracy, and computational performance for complex engineering simulations. Collaborate with domain experts, software developers, testers, and customers to deliver reliable simulation solutions.

Identify and address performance, stability, or accuracy issues in simulation models, solvers, and workflows. Explore and apply AI, machine learning, or data-driven techniques (where valuable) to enhance simulation workflows and productivity. Qualifications and Experience Bachelor's, Master's, or PhD in Chemical or Process Engineering is strongly preferred.

Degrees in Applied Mathematics, Computer Science, or a closely related field will also be considered. Hands-on experience developing numerical algorithms, numerical solvers, process models, simulation engines, or scientific computing applications. Experience developing underlying simulation technology is preferred over experience focused primarily on using commercial simulation software.

Strong programming skills in C++ and Python applied to numerical, computational, or engineering problems. Strong understanding of process engineering principles, process modeling, and process simulation. Understanding of numerical methods, mathematical modeling, numerical stability, and accuracy.

Experience with dynamic/transient simulation, pressure-flow networks, thermodynamic modeling, unit operations, or related process simulation technologies is an asset. Interest or experience in AI/ML or data-driven modeling/optimization is an asset; experience applying AI/ML to engineering, simulation, or scientific computing problems is particularly valuable. Strong problem-solving skills and attention to engineering accuracy, numerical stability, and computational performance.

Ability to work independently and collaborate effectively within a multi-disciplinary team. Growth mindset and enthusiasm for learning new technologies. Must be legally authorized to work and reside in Canada without company sponsorship.

Schlumberger Canada Limited is committed to workplace diversity and employment equity and supports initiatives to enhance employment opportunities for local workforces and Indigenous Persons. Come join SLB and be part of one of the world's most diverse and inclusive groups of industry experts. A global technology company driving energy innovation for a balanced planet.

Together, we create groundbreaking technology that unlocks access to energy while reducing environmental impact. For more information, visit slb.com. #LI-DB1

By applying for this position, I hereby expressly acknowledge and consent to the following: I consent to the collection, storage, transfer and processing of personal data strictly in relation with and for the purpose of the recruitment procedure and onboarding (if applicable). I acknowledge that my data will be accessible by SLB's talent acquisition and onboarding teams, who are located worldwide. I further acknowledge that I have the right to access to such data and to correct any errors, which may be contained therein.

I understand this can be done by contacting Schlumberger Canada Limited's ("SLB Canada") privacy officer. The SLB Canada privacy officer may be contacted by calling 403-509-4000. I agree that any misrepresentation of information in the application process, or during onboarding, if applicable (including but not limited to the this application, resume, transcripts, and Driver's Abstract or during the course of an interview) is an act of dishonesty and may be grounds for halting the application and/or onboarding process or for termination with cause (if applicable).

I understand that SLB may disclose my personal information to third party providers as maybe be required to carry out the application and onboarding (where applicable) process. I further agree that SLB may obtain personal information about me from these third parties, including but not limited to, employment history, academic training including verification of any diplomas, degrees or professional accreditations, driver's abstract and records of criminal convictions for which a pardon/record suspension was not granted in accordance with the Criminal Records Act, RSC 1985, c C47. I understand that the retention period for the data contained in my application form is 3 years from the date of application.