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Simulation Software Engineer Internship Jobs in Toronto, ON

CIBC US

Software Engineer II - Android

Toronto, ON · Hybrid

What You'll Be Doing The Software Engineer II - Android will contribute to the technical design ... We may ask you to complete an attribute-based assessment and other skills test (such as simulation ...

CIBC

Software Engineer II - Android

Toronto, ON · Hybrid

What You'll Be Doing The Software Engineer II - Android will contribute to the technical design ... We may ask you to complete an attribute-based assessment and other skills test (such as simulation ...

Waabi

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... software engineering skills, including experience with large-scale training or simulation. The US ...

Magna

Software Engineering Co-op

Newmarket, ON · On-site

CA$21.08 - CA$25.46/hr

Utilizing Web Development in Vue3.js, React, Python, Azure DevOps, and AI integration to build cutting-edge applications, with integration to mechanical simulation and CAD software * Construct ...

Magna

Engineer, AI & Software Testing

Toronto, ON · Hybrid

CA$95K - CA$145K/yr

Compare experimental results with simulation data for consistency and validation. * Oversee the ... Bachelor's or higher degree in Engineering including but not limited to: Computer Science ...

Waabi

Research Engineer, Neural Rendering

Toronto, ON · On-site +1

CA$134K - CA$235K/yr

You will work on shipping next-generation simulation software which mixes traditional real-time ... engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well ...

ShyftLabs

Associate AI Engineer

Toronto, ON · Hybrid

CA$60K - CA$80K/yr

Internship, co-op, academic project, or personal project experience in software engineering, AI/ML, or backend development * Proficiency in Python and familiarity with libraries or frameworks such as ...

Geotab

Lead Embedded Developer

Oakville, ON · On-site +1

Geotab is seeking a Lead Embedded Developer who will drive the technical direction of the Software in the Loop (SiL) team and evolve the simulation framework that validates GO device firmware at ...

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Simulation Software Engineer Internship information

What is the difference between Simulation Software Engineer Internship vs Simulation Software Engineer?

AspectSimulation Software Engineer InternshipSimulation Software Engineer
Required CredentialsCurrently pursuing or recently completed a relevant degree (e.g., Computer Science, Engineering)Bachelor's or Master's degree in a related field, with some roles preferring experience or certifications
Work EnvironmentInternship programs, often in corporate R&D or product teams, with mentorshipFull-time professional role in engineering teams, often in R&D or product development
Employer & Industry UsageUsed by tech companies, automotive, aerospace, and simulation firms for training and developmentEmployed in similar industries, focusing on developing and maintaining simulation software products

The main difference is that a Simulation Software Engineer Internship is a temporary, learning-focused position for students or recent graduates, while a Simulation Software Engineer is a full-time professional role requiring more experience and responsibility in developing simulation software.

What does a Simulation Software Engineer Intern do?

A Simulation Software Engineer Intern assists in developing and testing software models that simulate real-world processes or systems. They typically work with experienced engineers to write code, debug simulations, and analyze results to ensure accuracy and efficiency. Interns may use tools such as MATLAB, Simulink, or Python, and contribute to projects in fields like automotive, aerospace, or robotics. The role helps interns gain hands-on experience in software engineering and simulation technologies, preparing them for future careers in the industry.

What are the key skills and qualifications needed to thrive as a Simulation Software Engineer Intern, and why are they important?

To thrive as a Simulation Software Engineer Intern, you need a strong foundation in programming languages (such as C++, Python, or MATLAB), mathematical modeling, and computer science principles, typically supported by ongoing or completed coursework in engineering or related fields. Familiarity with simulation tools (like Simulink or Modelica), version control systems (such as Git), and possibly exposure to CAD or physics engines is often required. Problem-solving abilities, attention to detail, teamwork, and effective communication are important soft skills for this role. These skills and qualities are crucial for accurately developing, testing, and refining simulation models within collaborative engineering environments.

What types of projects or tasks can I expect to work on during a Simulation Software Engineer Internship?

As a Simulation Software Engineer Intern, you will typically contribute to developing, testing, and refining simulation models used for validating real-world systems or products. Your daily tasks may include coding simulation algorithms, analyzing performance data, debugging issues, and collaborating with engineers from other disciplines such as hardware, robotics, or product design. Interns often work closely with mentors, attend team meetings, and may have opportunities to present findings or improvements. This role provides hands-on experience with industry-standard simulation tools and fosters valuable teamwork and technical skills.
What are the most commonly searched types of Simulation Software Engineer jobs in Toronto, ON? The most popular types of Simulation Software Engineer jobs in Toronto, ON are:
What are popular job titles related to Simulation Software Engineer Internship jobs in Toronto, ON? For Simulation Software Engineer Internship jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Simulation Software Engineer Internship jobs in Toronto, ON look for? The top searched job categories for Simulation Software Engineer Internship jobs in Toronto, ON are:
Simulation Software Engineer Internship jobs near you
Infographic showing various Simulation Software Engineer Internship job openings in Toronto, ON as of July 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Senior / Staff Software Engineer, Mapping

Waabi

Toronto, ON • On-site, Remote

CA$141K - CA$242K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 16 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving. 
 
You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation.
 
You will...
- Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving.
- Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale.
- Architect and build the engineering foundations of our long-term mapping infrastructure.
- Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data.
- Design and develop comprehensive metrics, observability, and anomaly detection across various systems.
- Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs.
- Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. 
 
Qualifications:
- BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience.
- Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures.
- Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust.
- Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept).
- Hands-on experience building distributed systems on modern cloud platforms.
 
Bonus/nice to have:
- A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates. 
- Prior experience with autonomous vehicles, HD mapping, or robotics.
- Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS.
- Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems.
- Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka).
- Open-minded and collaborative team player with strong willingness to help others.
The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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