Senior / Staff Software Engineer, ML Datasets & Data Pipelines
- Employment type
- Full-time · On-site
- Posted
- November 8, 2026
- NOC code
- 21231 — Software engineers and designers
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Sparse posting · 33/100
This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored
Job Overview
This role is based in Ontario. The Canadian NOC code for this position is 21231 — Software engineers and designers. Waabi is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.
Market context
About this role in Ontario
Average salary for Software Engineer in Ontario
We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.
NOC code
21231 — Software engineers and designers. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.
Typical qualifications for Canadian employers
A degree in computer science, software engineering or a related field, or equivalent experience, plus demonstrated work in one or more production languages and frameworks.
Licensing: No licence is needed to write software, but the title "engineer" is protected by the provincial engineering regulators; some employers post the same role as "software developer" for that reason.
Fit check
Is this role right for you?
Top skills this posting asks for:
- Machine Learning
- Data Pipelines
- Software Engineering
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What you'll do
- Design and build ML datasets for autonomous vehicle training
- Develop scalable data pipelines
- Support autonomous transportation technology development
- Contribute to Physical AI technology advancement
- Work with world-class team on next-generation autonomous systems
- Collaborate across multiple offices (Toronto, San Francisco, Dallas, Pittsburgh)
What you'll need
- Senior or Staff level software engineering experience
- Experience building ML datasets and data pipelines
- Background in machine learning or AI systems
- Proven experience with large-scale data processing
- Collaborative and innovative mindset
- Diverse background preferred