Senior Software Engineer, Inference
- Employment type
- Full-time · On-site
- Posted
- September 28, 2026
- NOC code
- 21231 — Software engineers and designers
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Sparse posting · 11/100
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. AssemblyAI, Inc. 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
Median $106,250 per year, with most postings between $74,450 and $127,133 (Software engineers and designers, 2026-08, 52 postings). This posting does not state a salary.
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:
- Software Engineering
- Machine Learning Inference
- Model Optimization
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What you'll do
- Design and optimize inference pipelines for Voice AI models
- Scale inference infrastructure handling 600M+ monthly calls
- Improve performance and efficiency of model serving
- Work on processing 1M+ hours of audio daily
- Collaborate with small team to define industry standards
- Enhance systems powering 2B end-user experiences
- Drive capital-efficient ML infrastructure development
What you'll need
- Senior-level software engineering experience
- Experience with machine learning inference systems
- Strong systems programming background
- Experience optimizing models for production
- Knowledge of GPU acceleration and CUDA
- Familiarity with distributed systems
- Understanding of Voice AI or audio processing (preferred)