Fluidstack is the AI Cloud Platform. We build GPU supercomputers for top AI labs, governments, and enterprises. Our customers include Mistral, Poolside, Black Forest Labs, Meta, and more.
Our team is small, highly motivated, and focused on providing a world class supercomputing experience. We put our customers first in everything we do, working hard to not just win the sale, but to win repeated business and customer referrals.
We hold ourselves and each other to high standards. We expect you to care deeply about the work you do, the products you build, and the experience our customers have in every interaction with us.
You must work hard, take ownership from inception to delivery, and approach every problem with an open mind and a positive attitude. We value effectiveness, competence, and a growth mindset.
Overview:
As we rapidly expand our independent GPU capacity partners to meet the demands of a growing customer base, we're seeking our founding Partner Engineer to lead and scale our partner ecosystem. This is a highly technical and cross-functional role reporting directly to the Director of Partnerships.
You will be responsible for validating partner infrastructure, ensuring system health, and managing deep technical relationships with GPU infrastructure providers. Your work will directly influence the scalability, reliability, and performance of our platform.
Lead and scale partner validation efforts: Manage multiple concurrent infrastructure validation cycles, define and track KPIs, and build repeatable processes.
Monitor and troubleshoot distributed systems: Perform end-to-end diagnostics across compute, fabric (e.g., InfiniBand), and storage layers.
Stay current with cutting-edge trends in AI infrastructure such as NVIDIA Hopper/Blackwell architectures, model-serving patterns, and emerging ML system designs and disseminate insights internally and externally.
Own technical partner relationships: Act as the primary technical contact for GPU capacity partners, balancing deep engineering discussions with high-level business context.
Technical depth in GPU-cloud infrastructure: Experience with large-scale GPU clusters using Kubernetes and/or SLURM over InfiniBand; deep understanding of the NVIDIA driver stack, NCCL performance tuning, and benchmarking.
Strong customer or partner-facing experience: Able to bridge technical and business conversations, explain complex systems to mixed audiences, and build trust through technical credibility.
Automation-first mindset: Skilled in infrastructure-as-code (Terraform or Pulumi), CI/CD workflows, observability stacks (Prometheus, Grafana, Loki), and scripting (Python, Bash).
Bonus: Prior experience working with GPU capacity providers, hyperscaler partnerships, or AI infrastructure startups.
Retirement or pension plan, in line with local norms.
Generous PTO policy, in line with local norms.
Fluidstack is remote first, but has offices in key hubs. For all other locations, we provide access to WeWork.
Originally posted on Himalayas
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