Engineering Manager, GPU Infrastructure

📋 Description

• Lead and mentor a GPU infra engineering team, fostering excellence.
• Define and execute GPU cluster roadmap for deployment and scaling.
• Oversee topology-aware scheduling, fault detection, and perf optimization.
• Collaborate with cloud providers to validate/deploy new GPU architectures.
• Ensure reliability, scalability, and security across GPU infra.
• Partner with AI researchers to translate needs into robust solutions.

🎯 Requirements

• Experience leading engineering teams with technical mentorship.
• Strong communication to explain complex technical concepts.
• Ability to make data-driven decisions under pressure.
• Experience working in remote, distributed teams.
• Commitment to inclusive, collaborative team culture.
• Deep ML/HPC infra expertise: GPU/TPU clusters, distributed training (PyTorch, TensorFlow, JAX).

🎁 Benefits

• Weekly lunch stipend in local currency.
• Full health and dental benefits, mental health budget.
• Retirement matching (RRSP/401K) and pension.
• 100% parental leave top-up up to 6 months.
• Annual enrichment benefits and education stipend.
• $500 home office stipend.