Engineer, AI & Software Testing
$95k - $145k • Toronto, Ontario, CA • Full-time
Posted 1mo ago
About the job
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.
Responsibilities
- Evaluate technologies and product designs against scientific, engineering, company, and customer standards.
- Support the creation of innovative components from concept through development, validation, prototyping, testing, and feasibility assessment.
- Design and execute research programs applying fundamental engineering and physics concepts.
- Contribute creative ideas for new products and processes and share information with colleagues.
- Compare experimental results with simulation data for consistency and validation.
- Manage innovation project timelines, coordinate efforts, estimate time, sequence tasks, and resolve issues.
- Define and manage outsourced work (software development, prototyping, validation, testing) to ensure on-schedule completion.
Requirements
- Bachelor's or higher degree in Engineering (e.g., Computer Science, Electrical, Aerospace, 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 automotive industry field.
- Proficient in handling training and validation data, segmentation, and annotation processes.
- Proficient in Python programming.
- Proficient in machine learning and AI frameworks (e.g., 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 (e.g., CrewAI, LangGraph).
- Ability to travel domestically and internationally up to 10%.
Benefits
- Hybrid work policy
- Wellness programs and events
- On-site cafeteria
- Parking for electric vehicles
- Access to private park for employees & their families