Sr. Software Development Manager - Compiler, AWS Neuron, Annapurna Labs
- Employment type
- Full-time · On-site
- Posted
- September 24, 2026
- Province
- Ontario (ON)
Hiring confidence: Sparse posting · 7/100
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. Amazon 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 Sr. Software Development Manager - Compiler, AWS Neuron, Annapurna Labs 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
This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.
Typical qualifications for Canadian employers
- Experience in compiler development or software development management
- Strong background in machine learning or AI systems
- Proven leadership experience managing engineering teams
- Deep understanding of ML inference and/or training workloads
- Knowledge of AWS services and cloud infrastructure
Fit check
Is this role right for you?
Top skills this posting asks for:
- Software Development Management
- Compiler Development
- Machine Learning
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What you'll do
- Lead and manage the compiler development team for AWS Neuron SDK
- Drive the development of ML inference and training compiler technology
- Manage the software stack for AWS Inferentia and Trainium chips
- Oversee technical strategy and roadmap for compiler optimization
- Collaborate with hardware and ML teams to deliver cutting-edge solutions
What you'll need
- Experience in compiler development or software development management
- Strong background in machine learning or AI systems
- Proven leadership experience managing engineering teams
- Deep understanding of ML inference and/or training workloads
- Knowledge of AWS services and cloud infrastructure