Senior Software Engineer, GPU Infrastructure (HPC)

Highlights

• Build and operate superclusters that train and serve frontier enterprise AI models.
• Partner directly with researchers to accelerate industry-leading AI development.
• Create intuitive self-service tooling that helps researchers optimize training.

What they offer

• Offers Equity
• Weekly lunch stipend and daily lunch program in office
• Full health and dental benefits including mental health budget
• RRSP matching, 401K and Pension Scheme
• 100% parental leave top-up for up to 6 months
• 6 weeks paid vacation
• Annual enrichment, education and workspace improvement benefits
• $500 home office stipend and co-working benefit
• Compensated 24x7 on-call rotation
• Annual company offsite and travel budget to other offices

Ideal candidate

A self-directed infrastructure builder who thrives partnering with researchers, obsesses over stability and scalability, and enjoys turning complex operational challenges into intuitive, automated systems.

Requirements

• Deep expertise in ML/HPC infrastructure with GPU/TPU clusters and distributed training
• Experience deploying, managing and troubleshooting cloud-native Kubernetes clusters at scale
• Proficiency in Python for ML tooling and Go for systems engineering
• Familiarity with Linux internals, RDMA networking and performance optimization
• Track record collaborating closely with AI researchers or ML engineers
• Ability to identify bottlenecks and drive impact in a fast-paced environment, including 24x7 on-call