H Company, Hybrid Paris +1
This role sits in our Infrastructure team, which works at the lowest layers of our stack, from Kubernetes down to the GPU hardware. You’ll run the clusters, GPUs and schedulers that our research, product and platform teams depend on, and manage the capacity we buy from our cloud providers.
Success is measured by how well we use our GPUs: keeping production reliable and improving the performance of our training and serving stack.
By month 3, you’ll be handling a share of cluster incidents on your own and will have shipped one change to scheduling or node health, such as automatically detecting and draining unhealthy GPU nodes. By month 6, you’ll own one part of the compute layer outright: scheduling and placement, node health and repair, or capacity and new regions. By month 12, you’ll be responsible for a globally distributed GPU system that shifts capacity between training and inference as needs change.
Your hiring manager is our VP of Engineering. Day to day, you’ll work with the Platform Infrastructure team, the research and product teams who use our compute, and our cloud providers and other vendors.
It’s a plus if you’ve worked as an SRE or infrastructure engineer, or have used:
You don’t need ML research experience. If you match most of this but not every point, please apply.
Four stages, about three hours in total: a 30-minute call with our Talent team, a 60-minute coding interview, a 60-minute system design interview and a closing 30-minute conversation with our VP of Engineering. The coding and system design interviews are modelled on real-world problems you’d face in this role.
The role is hybrid, with three days a week in our Paris or London office and occasional travel between the two. We offer a competitive package.
You’ll own the GPU compute that powers our model training, evaluation and serving systems.
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Source: the H Company Ashby job board. We last checked this job 8 h ago. We first saw it 8 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
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