Head of Compute Engineering

Impossible Cloud Network

Impossible Cloud Network

Washington, DC, USA · Remote

Posted on Mar 20, 2026

ABOUT US:

We have built a cloud object storage similar to AWS S3, now optimised for AI and compute. Our market success has already been proved by our commercial hyper-growth, based on our channel-based GTM strategy. While we build a high performance compute platform and a comprehensive suite of cloud services, we are redefining the cloud ecosystem by bridging the gap between decentralized infrastructure (DePIN), mainstream B2B cloud use cases, and most recently AI Applications — all from our HQ in Hamburg.

Find out more about us here.

You will work with a small but growing team of engineers, roll up your sleeves on architecture and code, and own both the development as well as the day-to-day health of our compute infrastructure. This is the right role for a senior engineer who is ready to step fully into engineering leadership without losing their technical edge.

WHAT YOU WILL DO:

    • 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

WHAT YOU BRING:

    • 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

    • Bonus:

      • 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 …)

WHAT WE OFFER:

  • Competitive salary coupled with direct engagement in your success through an enticing ESOP.
  • Clear and transparent career progression scheme inspired by the best performing organisations incl. fast track promotion opportunity for exceptional performance to support your growth ambitions.
  • Prime growth-stage company with proven revenue and a sharp edge in cloud — founded by serial entrepreneurs with multiple successful exits.
  • Experienced, passionate team working with cutting-edge cloud technology.
  • A vibrant office in a trendy location with free brain food and a canteen — plus a subsidized premium gym membership and monthly team meet-ups that bring the whole crew together!


OUR CULTURE:
We are committed to success. We embrace individuals from all backgrounds who share the goal of building a future European cloud champion, celebrated through a richly diverse team of 15+ nationalities and 10+ languages spoken.

OUR HIRING PROCESS:
  • Apply: Submit your CV or LinkedIn profile via the application form.
  • First response: We review every application carefully and get back to you within a few days. If your profile is a strong match, we'll invite you to an intro call via Google Meet.
  • Get to know us: We move quickly through two to four interview steps, including a meeting with our founders.
  • Offer: If it's a mutual fit, you'll receive a personal offer and feedback call, followed by a written offer document.