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Senior Software Engineer, GPU Infrastructure (HPC)
Posted 1 day ago
Job summary
The role involves building, scaling, and optimizing GPU/TPU HPC infrastructure for AI workloads, working closely with researchers to support training and evaluation of foundational models. Key tasks include deploying large-scale Kubernetes clusters, troubleshooting system issues, and driving innovation through automation and best practices.
Responsibilities
You will build and scale ML-optimized HPC infrastructure using Kubernetes to support AI model training across multiple clouds. Additionally, you will collaborate with researchers to optimize performance and provide self-service tools for debugging and monitoring training jobs.
Qualifications
Candidates must have deep expertise in ML/HPC infrastructure, including experience with GPU/TPU clusters and distributed training frameworks. Proficiency in Python and Go, along with strong knowledge of Linux internals and Kubernetes at scale, is required.
Benefits
- Health insurance
- Dental benefits
- Mental health budget
- RRSP matching
- 401k
- Pension scheme
- Parental leave
- Arts and culture stipend
- Fitness and wellness stipend
- Education and learning stipend
- Paid vacation
- Home office stipend
- Lunch stipend
Company
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