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Model Based Simulation Engineer Jobs in Toronto, ON

... based on plans and specifications provided by engineers or architects * Model electrical building systems, including power distribution, lighting, and low-voltage systems * Collaborate with ...

... long-term solutions based on research insights, leveraging your expertise in deep learning ... modeling and sensor simulation, integrating research findings into our self-driving system and ...

Collaborate with simulation engineers to integrate models into large-scale, distributed training ... Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the ...

Senior Staff Compiler Engineer Toronto/Hybrid We are partnered with a global leader in the ... models/simulators How to Apply? All qualified and interested applicants can apply directly to Gord ...

We build simulation and data-driven modeling tools that let leaders visualize how strategies will ... This is a remote position open to applicants globally with a strong interest in US and Europe based ...

We are seeking a Senior Engineer, Advanced R&D based in Oakville to lead the technical exploration ... The role combines advanced thermal-fluid analysis, simulation, experimentation, prototype ...

Apply and champion Deterministic Simulation Testing (DST) approaches where applicable, bringing ... Working familiarity with Agile/Scrum, with 3+ years operating in sprint-based delivery models.

Research Scientist, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

... simulation. * Model distillation. * Collaborate with engineers to integrate models into large-scale ... Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the ...

Showing results 41-60

Model Based Simulation Engineer information

What is a model based simulation engineer?

A Model Based Simulation Engineer is a professional who uses computer-based models to simulate and analyze the behavior of systems, such as mechanical, electrical, or software systems. They develop and validate these models to predict how complex systems will perform under various conditions, which helps in design, testing, and optimization. This role often involves working with simulation software, collaborating with multidisciplinary teams, and interpreting simulation data to support engineering decisions. Model Based Simulation Engineers are crucial in industries like automotive, aerospace, and manufacturing, where accurate system modeling can save time and reduce costs.

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

To thrive as a Model Based Simulation Engineer, you need a strong background in engineering principles, mathematics, and experience with model-based design, typically supported by a relevant engineering degree. Proficiency with simulation tools such as MATLAB/Simulink, Stateflow, and familiarity with control systems or embedded software is essential, along with knowledge of industry standards like ISO 26262 in automotive roles. Strong problem-solving, attention to detail, and effective communication skills help you interpret requirements and collaborate with multidisciplinary teams. These skills ensure accurate system modeling, efficient development cycles, and effective integration of complex engineering solutions.

How does a model based simulation engineer typically collaborate with cross-functional teams during a project?

Model Based Simulation Engineers often work closely with design, software, and testing teams throughout the product development lifecycle. They translate system requirements into simulation models and share insights with other engineers to optimize performance and identify potential issues early. Regular meetings, iterative feedback, and collaborative model reviews are common, ensuring that the simulation results align with real-world requirements and project goals. This collaborative approach helps streamline development and improves overall system quality.

What is the difference between Model Based Simulation Engineer vs Systems Engineer?

AspectModel Based Simulation EngineerSystems Engineer
Required CredentialsBachelor's or Master's in Engineering, Computer Science, or related field; certifications in simulation toolsBachelor's or Master's in Engineering, Systems Engineering, or related field; certifications in systems analysis
Work EnvironmentDesigning and developing simulation models, testing scenarios, using simulation softwareAnalyzing system requirements, integrating components, coordinating across engineering teams
Industry UsageAerospace, automotive, defense, and manufacturing sectorsDefense, aerospace, IT, and complex system development sectors

The Model Based Simulation Engineer focuses on creating and validating simulation models to predict system behavior, while the Systems Engineer manages overall system design, integration, and requirements. Both roles often collaborate but serve different functions within engineering projects.

What cities near Toronto, ON are hiring for Model Based Simulation Engineer jobs?

Cities near Toronto, ON with the most Model Based Simulation Engineer job openings:

Infographic showing various Model Based Simulation Engineer job openings in Toronto, ON as of June 2026, with employment types broken down into 41% Full Time, 40% Part Time, 2% Temporary, and 17% Contract. Highlights an 89% Physical, 5% Hybrid, and 6% Remote job distribution.

Principal Engineer, Efficient GenAI

Thornhill, ON • On-site

Advanced Micro Devices, Inc
Computer and Electronic Product Manufacturing • 5 - 10K employees

Full-time

Re-posted 21 days ago


Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

28th of 162 rated electronics manufacturers


Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.  

 

THE ROLE:

The AI Models and Applications team at AMD is looking for a specialized Principal Engineer who is passionate about enabling innovative and efficient Generative AI training and inference at scale. You will be part of a core team of incredibly talented specialists and work on scaling training and inference for the latest Generative AI models.

 

THE PERSON:

You have a deep technical understanding and hands-on experience with the latest Generative AI applications in at least one of the following areas: large language models (LLMs), 3D World and Action Models, or image/video generation models. You have experience training models at scale and are passionate about developing efficient approaches to enable distributed training and inference on AMD devices.

 

Why Join Us?

  • Exciting Opportunities: As a senior member of the team, you will be at the forefront of innovation, working with the latest Generative AI models and algorithms. You will have the opportunity to shape the future of AI model training and inference optimization across a variety of applications.
  • Talented Team: Join a team of highly skilled industry specialists who are passionate about pushing the boundaries of AI. Collaborate with like-minded professionals and learn from the best in the field.
  • Cutting-Edge Technology: Work with state-of-the-art Generative AI algorithms and software, enabling you to stay ahead of the curve and drive advancements in AI model training at scale and deployment.
  • Impactful Work: Your contributions will directly influence how cutting-edge Generative AI models across the industry are efficiently trained at scale, as well as how inference solutions are deployed to serve millions of customers, making a significant difference across various industries and applications.

 

KEY RESPONSIBILITIES:

  • Propose and apply innovative techniques to support both training and inference, including innovative transformer architectures, parallelism strategies for training on large clusters, inference optimization techniques such as speculative decoding, and optimal KV-caching strategies.
  • Implement novel, efficient architectures for Generative AI models for training and inference and showcase the benefits on AMD platforms.
  • Work with open-source frameworks and communities (e.g., PyTorch, JAX, vLLM, SGLang) to integrate AMD-optimized models and libraries and publish training recipes.
  • Collaborate with software and hardware teams to co-optimize end-to-end performance on current and future AMD solutions.
  • Increase adoption of agentic workflows for optimizing and deploying Generative AI applications at scale on AMD platforms.
  • Publish and promote your work at external venues, including major conferences.
  • Collaborate with researchers within AMD and across industry and academia to promote innovation on AMD platforms.

 

PREFERRED EXPERIENCE:

  • Strong technical expertise in Generative AI model training and inference, with familiarity working with deep learning frameworks such as PyTorch, JAX, vLLM, SGLang, and MuJoCo.
  • Strong technical expertise in algorithmic innovation for efficient Generative AI applications across both training and inference.
  • Expertise and publications in one or more of the following preferred areas: efficient model architectures, optimized training, innovative parallelism strategies, or low-precision training.
  • Additional plus if publications have been presented at conferences such as NeurIPS, CVPR, ECCV, ICCV, ICML, or ICLR.
  • Experience productizing Generative AI models and training foundation models at scale.
  • Excellent written, verbal, and presentation skills, with the ability to coordinate effectively both internally and externally.
  • Several years of experience in AI, deep learning, and related software development.

 

ACADEMIC CREDENTIALS:

PhD or Master’s degree in Computer Science, Electrical Engineering, Mathematics, or a related field.

 

LOCATION:

Markham, Ontario, Canada (Hybrid)

#LI-MV1

#HYBRID

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Qualifications:

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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