Engineer, AI & Software Testing

Magna International•Toronto, ON

35d•$95,000 - $145,000•Hybrid

About The Position

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are. Group Summary: Magna is more than one of the world’s largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape. Job Responsibilities: This role involves testing AI models and software for diverse use cases using various methodologies. The incumbent will generate ground truth data, develop reference materials and annotated datasets, and build a robust testing framework to ensure high quality standards. Key tasks include engaging with internal customers to identify challenges, creating impactful solutions, and collaborating with universities and external partners to drive innovation and successful project outcomes. In addition, the role supports the R&D project team engineers and researchers by providing technical evaluation of technologies being considered by Magna.

Requirements

Bachelor's or higher degree in Engineering including but not limited to: Computer Science, Electrical, Aerospace, and Robotics.
Automotive OEM or Tier-1 experience preferred.
Comprehensive understanding about automotive technology
Good understanding of basic engineering principles and physics
3+ years of recent, in-depth, hands-on experience in a relevant field in the automotive industry

Nice To Haves

Proficient in handling training and validation data, segmentation and annotation process
Proficient in programming python
Proficient in machine learning and AI frameworks such as Tensorflow, Keras, PyTorch, …
Experience in github continuous integration and testing
Experience in prompting technics
Experience in frontend web development (next.js, react,…)
Experience in cloud deployment (docker, azure, aws,…)
Proficient in agentic AI frameworks such as crewai, langgraph, ...
Ability to travel domestic and international – 10% percent of the time.

Responsibilities

Evaluate technologies and product designs to ensure they align with scientific and engineering principles, company standards, customer needs, and relevant specifications.
Support the creation of innovative components and modules from conceptualization through all stages of development, including design engineering, validation, prototyping, testing, and assessing both production feasibility and business cases.
Design and execute research programs by applying fundamental concepts in mechanics, thermodynamics, hydraulics, electronics, heat transfer, and materials science.
Foster teamwork by contributing creative ideas for new products and processes, and by sharing information with colleagues.
Compare experimental results with simulation data for consistency and validation.
Oversee the innovation project timeline by tracking overall progress, coordinating efforts, estimating time requirements, sequencing tasks, and resolving any arising issues.
Clearly define and manage outsourced work—such as software development, prototyping, validation, and testing—ensuring it is completed on schedule.