Member of Technical Staff, GPU Infrastructure

Highlights

• Operate multi-cloud fleets that train and serve frontier enterprise models.
• Automate fault detection so most failures fix without human touch.
• Bring up new hardware generations with cloud and vendor partners.

What they offer

• Weekly $75 lunch stipend
• Full health and dental benefits including mental health budget
• RRSP matching, 401K, Pension Scheme
• 100% parental leave top-up for up to 6 months
• Annual enrichment benefits and education stipend
• 6 weeks of paid vacation (30 working days)
• $500 home office stipend plus co-working benefit if remote

Ideal candidate

An automation-driven infrastructure engineer who obsesses over reliability and utilization and enjoys partnering with researchers to keep large-scale model training fast and healthy.

Requirements

• Run GPU Kubernetes clusters with thousands of GPUs for ML or HPC workloads
• Debugged Linux, networking, and performance problems
• Familiarity with RDMA, NCCL, or accelerator health is a plus
• Written software in Python or Go
• Prefer extending solid open-source projects over rebuilding
• Worked with researchers, ML engineers, or teams with different goals
• Found bottlenecks, proposed fixes, and drove them in fast-moving environment