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Modeling And Simulation Jobs in British Columbia

This role is mainly focusing on water simulation. The script What your day will look like ... Familiarity with other areas of the production pipeline (modeling, animation/rigging, lighting ...

Develop simulations, models, and analytical workflows using Python and the Basetwo platform * Work with industrial data systems and historians to integrate and contextualize manufacturing data

Model, simulate, or prototype proposed software behaviours to secure stakeholder approval and facilitate effective software construction. * Review, verify, and enhance own designs against desired ...

Model, simulate, or prototype proposed software behaviours to secure stakeholder approval and facilitate effective software construction. * Review, verify, and enhance own designs against desired ...

Practical scripting ability for attack simulation and PoC generation (Python required; PowerShell/Bash/other scripting as applicable). Note: production engineering and model training are handled by ...

Showing results 21-40

Modeling And Simulation information

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 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 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 popular job titles related to Modeling And Simulation jobs in British Columbia? For Modeling And Simulation jobs in British Columbia, the most frequently searched job titles are:
What job categories do people searching Modeling And Simulation jobs in British Columbia look for? The top searched job categories for Modeling And Simulation jobs in British Columbia are:
What cities in British Columbia are hiring for Modeling And Simulation jobs? Cities in British Columbia with the most Modeling And Simulation job openings:
Infographic showing various Modeling And Simulation job openings in British Columbia as of August 2026, with employment types broken down into 87% Full Time, and 13% Temporary. Highlights an 100% In-person job distribution.

DSP - Optical Design Engineer

Celero Communications, Inc.

Vancouver, BC โ€ข On-site

CA$150K - CA$250K/yr

Full-time

Re-posted yesterday


Job description

DSP - Optical Design Engineer
Locations: Ottawa, Ontario, Canada or Vancouver, British Columbia, Canada
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 DSP design 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 digital signal processing, digital communications, and fiber-optic communication systems, with experience developing DSP algorithms for high-speed communication systems. Candidates with industry experience are preferred.
Key Responsibilities
• Research, develop, and evaluate digital signal processing (DSP) algorithms for high-speed optical communication systems.
• Design and optimize DSP blocks used in optical transceivers, including adaptive equalization, timing recovery, carrier phase recovery, polarization demultiplexing, and nonlinear compensation.
• Develop system-level simulation models of optical communication links and evaluate DSP algorithm performance under realistic channel conditions.
• Analyze performance under various impairments such as noise, chromatic dispersion, polarization effects, and hardware non-idealities.
• Verify and optimize algorithm performance through floating-point and fixed-point simulations.
• Develop bit-accurate and cycle-accurate models to support ASIC implementation.
• Document design details and collaborate with ASIC, firmware, and verification teams to ensure reliable implementation in silicon.
Preferred Qualifications
• Master’s or Ph.D. degree in Electrical Engineering, Physics, or Mathematics.
• Minimum of two years of industry experience in related fields.
• Strong background in digital signal processing and digital communications.
• Experience with DSP algorithms for optical communication systems.
• Programming experience in C/C++, Python, MATLAB, or similar languages.
• Experience in modeling communication systems.
• Familiarity with forward error correction (FEC) schemes used in communication systems.
• Experience modeling optical components and electrical frontends of optical transceivers.
• Experience with version control systems, specifically GitHub.
• Familiarity with Verilog or VHDL is a plus.
• Team player with a mindset focused on the successful delivery of the first product.
Annual Base Salary Range: $150,000 - $250,000 (The final offer will be determined based on job-related skills, experience, qualifications, and location.)