impossiblecloud - Impossible Cloud - Head of Compute Engineering
Requirements
• 7+ years of engineering experience, with at least 1-2 years in a tech lead or engineering manager capacity within the GPU space. • Practical experience with GPU compute - CUDA environments, NVIDIA drivers, MIG/vGPU, or similar • Experience with container orchestration (Kubernetes, Docker) and infrastructure-as-code (Terraform, Ansible) • Deep understanding of GPU cluster management and GPU compute layers (bare-metal provisioning, k8s, inference software, …) • Startup mindset: you move fast, take ownership, and are energised rather than overwhelmed by ambiguity • Experience in hyperscalers or Neocloud infrastructure, or data centre deployments • Deep knowledge of job schedulers (Slurm, LSF, Ray), networking (InfiniBand/RoCE), large-scale storage systems (VAST, Weka, DAOS, Ceph, AWS S3, Lustre, GPFS), GPU inference and fine-tuning customer workloads (vLLM, LanceDB …)
Responsibilities
• Contribute directly to architecture and code, particularly on GPU provisioning, orchestration, and the customer control plane • Lead a team of engineers across platform infrastructure, backend services, and internal tooling • Own the engineering delivery process: planning, prioritisation, and execution in close collaboration with the founding team • Implement and maintain observability, alerting, and on-call processes to meet customer SLAs • Hire and onboard engineers as the team grows; act as a culture carrier for technical excellence • Work directly with early customers to understand their GPU workload requirements and feed these into the roadmap
Benefits
• Rare opportunity to be the technical lead at a company at the centre of the AI infrastructure boom • Hands-on role with real technical depth - this is not a purely managerial position • Attractive equity for an early employee in a high-growth space • Work directly with founders and have a real voice in product and company direction • Head of Compute Engineering
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