Infrastructure Engineer ML Compute
H Company develops computer-use AI agents, models, and enterprise automation products.
Maintainer signals as of 9/25/2026
Funding history
About H Company
H Company is a Paris-founded AI company offering a full-stack platform for deploying action-oriented agents across enterprise systems, alongside Holo models, APIs, and browser/desktop agent tools.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own GPU compute for model training, evaluation, and serving. You will operate Kubernetes clusters, GPUs, and schedulers; improve scheduling and placement; maintain node health; manage cloud capacity; and debug infrastructure failures across Linux, storage, networking, and GPU hardware.
Requirements
- Build and run GPU workloads on Kubernetes
- Design GPU clusters for training and online reinforcement learning
- Debug Linux, GPU drivers, networking, and storage
- Write Python
Responsibilities
- Run Kubernetes clusters for GPU training and inference
- Improve GPU workload scheduling and placement
- Detect, drain, and repair unhealthy GPU nodes
- Manage capacity with cloud providers
- Debug failures in GPUs, Linux, storage, and networking
Hiring Process
30-minute Talent team call, 60-minute coding interview, 60-minute system design interview, and closing 30-minute conversation with the VP of Engineering.