VP, AI Infrastructure - Highrise.ai

About the role

Hut 8 is scaling our GPU platform that integrates power, colocation, and compute into a single, operationally owned stack. Customers don't ask whether we have power or GPUs - they ask who actually runs the operation. This role exists to be that answer. Hut 8 leadership owns strategy, capital, and customer relationships. You own execution. You are accountable for taking raw, power-backed infrastructure and turning it into production-ready, SLA-backed GPU capacity - at scale. This is not a lab role or a traditional enterprise ops role. It is enterprise -grade operational discipline applied to hyperscale infrastructure, built on direct control of power, facilities, and compute . Some of the key responsibilities you should expect are the following: You will run the full operational layer between Hut 8's facilities and the customer: Deployment, commissioning, and production sign-off Performance, uptime, and SLA ownership Incident response, escalation, and root cause resolution OEM, vendor, and hardware lifecycle management Scaling operations from ~1,100 GPUs to 20,000+ GPUs You are accountable for end-to-end managed GPU operations , including: RDMA networking (InfiniBand and/or RoCE) Multi-tenant and single-tenant production environments 99.9%+ availability targets Repeatable, auditable commissioning processes Enterprise readiness layered onto hyperscale infrastructure You coordinate tightly with Hut 8 teams on: Power, cooling, rack density, and facility readiness Deployment sequencing and capacity expansion Operating constraints driven by energy, thermal, and site realities You build and lead the operational organization: Field operations, deployment, and infra ops teams Hiring, structure, and escalation paths as scale ramps Clear ownership across sites and customers You run a disciplined, hands-on operating rhythm: Daily standups on deployment progress, risks, and blockers Direct oversight of GPU failures, RDMA performance, and thermal issues Production sign-off for each deployment tranche Weekly capacity and readiness planning with facilities Monthly OEM and vendor performance reviews Quarterly planning for expansion, refresh cycles, and new platforms ABOUT YOU You are a senior infrastructure operator who has scaled real systems, not just designed them. 10+ years in large-scale infrastructure or hyperscale data center operations 5+ years operating GPU-accelerated and/or HPC environments Direct experience deploying and operating 10,000+ GPUs in managed, production settings Deep expertise in RDMA networking (InfiniBand and/or RoCE) Proven ownership of 99.9%+ uptime and customer-facing SLAs Hands-on operator mindset - you drive issues from detection → root cause → resolution Track record of building repeatable deployment and commissioning playbooks Experience leading teams of 20-50+ across field ops, deployment, and infrastructure Senior leadership background (Director / Senior Director / VP) at a recognized operator Preferred/Bonus: Direct working relationships with NVIDIA and/or AMD Experience with H100, H200, GB200, and/or MI300X platforms Multi-site, parallel deployment experience Background spanning greenfield buildouts and steady-state hyperscale operations ABOUT THE WORK ENVIRONMENT This role is remote or in office in San Francisco. Reasonable accommodations may be made to en

Benefits

Additional Information

ABOUT HUT 8 Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the world's largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging opportunities for individuals who want to build teams, solve problems, and make an impact from day one. If you're an ambitious individual looking for a career that is as rewarding as it is challenging, you've come to the right place. ABOUT HIGHRISE.AI At Highrise.ai, we recognize that the shift from traditional software to AI represents one of the most significant technological transformations of our era. Our mission is to accelerate this shift across industries by providing the cutting-edge infrastructure needed to build, scale, and deploy AI at an unprecedented level. Our products empower the development and operation of the world's most advanced large language models (LLMs), generative models, and computer vision models. By offering highly optimized GPU infrastructure, we enable organizations to unlock the full potential of AI, pushing the boundaries of what's possible in fields such as natural language processing, image recognition, and beyond. We are committed to driving innovation and efficiency in AI infrastructure, making it easier for companies to transition from concept to production at scale, with the reliability and performance necessary to stay ahead in a rapidly evolving technological landscape.

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