H Company
More roles at H CompanyInfrastructure Engineer (ML Compute) - Paris
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Hybrid Paris
Employer listed it 2 weeks ago · Added 12 days ago
Been open since 2 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Hybrid · Hybrid Paris
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Software
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
The role is hybrid, with three days a week in our Paris or London office and occasional travel between the two.
- Contract
- Not mentioned in the advert
- Experience asked for
- Not mentioned in the advert
- Pay
- Not mentioned in the advert
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Hybrid Paris, Hybrid London, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Hybrid Paris, Hybrid London, Hybrid"
- Listing mentions "Hybrid" and three days a week in the office
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Questions worth asking: Nomaders interpretation
- This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
- No pay is stated. Ask for the salary range before investing time in interviews.
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
You’ll own the GPU compute that powers our model training, evaluation and serving systems.
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.
What success looks like
Success is measured by how well we use our GPUs: keeping production reliable and improving the performance of our training and serving stack.
What you’ll be doing
Running Kubernetes clusters for GPU training and inference
Improving how GPU work is scheduled and placed
Detecting, draining and repairing unhealthy GPU nodes
Managing capacity with our cloud providers
Debugging failures in GPUs, Linux, storage and networking
The first year
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.
Who you’ll work with
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.
What we think it takes
You’re likely a good fit if you:
Have built and run GPU workloads on Kubernetes
Could design a GPU cluster for training and online RL from scratch
Debug confidently at the OS layer and below (Linux, GPU drivers, networking and storage)
Write strong Python
It’s a plus if you’ve worked as an SRE or infrastructure engineer, or have used:
Slurm
Kubernetes scheduling and autoscaling tools such as Kueue or Karpenter
Multi-cloud orchestration tools such as SkyPilot
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at H Company, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 13d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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