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Impossible Cloud

Head of Compute Engineering

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Remote
Hiring Remotely in United States
Remote
Hiring Remotely in United States

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ABOUT US:

Impossible Cloud is a fast-growing B2B cloud company headquartered in Hamburg, Germany. We have built a cloud object storage solution comparable to AWS S3, purpose-built and optimised for AI and compute workloads. Our commercial hyper-growth speaks for itself, powered by our channel-first go-to-market strategy.

We are now expanding beyond storage: we are building a high-performance compute platform, offering an end-to-end solution from GPU infrastructure to full GPU platform software stack. In doing so, we are redefining the cloud ecosystem by bridging the gap between decentralised infrastructure (DePIN), mainstream B2B cloud use cases, and AI applications.

 

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. 

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