Apply on Kit Job: kitjob.ca/job/2g8xpb

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. Additionally, the role supports the R&D; project team engineers and researchers by providing technical evaluation of technologies being considered by Magna.

Key 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.

Qualifications





Bachelor’s or higher degree in Engineering, including Computer Science, Electrical, Aerospace, and Robotics.

Automotive OEM or Tier‑1 experience preferred.

Comprehensive understanding of 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.

Preferred Qualifications

Proficient in handling training and validation data, segmentation, and annotation processes.

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 techniques.

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 domestically and internationally – 10% of the time.

Compensation Salary: $95,000 - $145,000 annually

Immediate, open position.

Perks

Hybrid work policy.

Wellness programs and events.

On‑site cafeteria.

Parking for electric vehicles.

Access to private park for employees & their families.

EEO Statement We believe that a diverse workforce is critical to our success. Magna is an equal‑opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of race, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously.

Accommodations Accommodations for disabilities in relation to the job selection process are available upon request.

Worker Type Regular / Permanent

Group Magna Corporate

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Apply on Kit Job: kitjob.ca/job/2g8xpb

📌 Engineer, AI & Software Testing (Toronto)
🏢 Magna International
📍 Toronto