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You will build and operate distributed training and inference pipelines while tuning performance on multi-node GPU clusters. Additionally, you will automate cluster provisioning and collaborate with researchers to resolve workflow bottlenecks.
At Verda, we're building a full-stack AI cloud, covering everything from data centers and hardware to our own cloud platform that the world's leading AI teams use to do serious AI work.
We strive to make a positive mark on the world through the infrastructure we build and give leading teams a service they can truly depend on. Headquartered in Helsinki, we operate globally with offices in London and San Francisco.
Join Verda while it’s still being built - not once it’s finished.
Cash and equity compensation along with local benefits.
40+ nationalities, with 6 different ones on the management team.
A real chance to make an impact and work alongside world class engineers, researchers, and partners across the global AI ecosystem.
This is a test posting for Ashby setup. It is not an open vacancy.
We are looking for an ML Infrastructure Engineer to join our AI Lab. You will build and run the training and inference infrastructure our researchers use on Verda GPU clusters. This role is fully remote within the EU countries listed.
Build and operate distributed training and inference pipelines
Tune performance on multi-node GPU clusters
Automate cluster provisioning, scheduling and monitoring
Work with researchers to remove bottlenecks in their workflows
4+ years in infrastructure, MLOps or platform engineering
Hands-on experience with Kubernetes or Slurm and GPU workloads
Strong Python and good Linux knowledge
Experience with PyTorch distributed training is a plus
Contract: permanent, full time, employed through our EOR partner
Location: remote in Germany, Spain, Poland or Latvia
Equity: stock options included
We're building fast and this role needs the right person behind it. There's no artificial deadline, but when we find who we're looking for, we move. If this sounds like your next move, apply now.
Please submit your application through our Careers page. We don't accept applications sent by email.
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