---
title: 'Infrastructure Engineer (ML Compute) - Paris at H Company'
canonical: 'https://feeny.ai/job/infrastructure-engineer-ml-compute-paris-h-company-paris-mnpet23ae537'
type: 'job'
last_seen: '2026-10-17'
---

# Infrastructure Engineer (ML Compute) - Paris at H Company

- **Company:** H Company
- **Location:** Paris, France
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-12
- **Last confirmed live:** 2026-10-17
- **Apply:** https://jobs.ashbyhq.com/hcompany/2c1e16a0-2fd0-4880-8aba-857456f0b2ed

## Job description

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
- AWS services such as EKS or SageMaker HyperPod
- High-performance interconnects and collective communication libraries such as EFA, InfiniBand, NCCL or Open MPI
- Terraform

You don’t need ML research experience. If you match most of this but not every point, please apply.

## How we hire

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.

Practicalities 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.

## About H Company

## Company Overview
- **One-liner**: H Company builds a full-stack enterprise platform for deploying autonomous AI agents that can navigate digital workflows, fill forms, and complete tasks across browsers and enterprise systems.
- **Entity Type**: Private (Venture Capital-Backed; Seed stage)
- **Headquarters**: Paris, France (with a hub in London, UK)
- **Founded**: 2023
- **Founders**: Gautier Cloix (CEO), Laurent Sifre (Chair of the Scientific Committee); leadership team includes Maxime Defauw, Caroline Charra, Pierre-Louis Cedoz, and Géraldine Lafontaine [hcompany.ai/team](https://hcompany.ai/team)

## Core Business
- **Primary industry**: Business/Productivity Software; Artificial Intelligence & Machine Learning; Automation/Workflow Software [pitchbook.com](https://pitchbook.com/profiles/company/597244-24)
- **Target customers**: Global enterprises (B2B)
- **Mission**: Build AI systems that powerfully and reliably work in the real world, enabling teams to focus on what matters by letting AI do the rest [hcompany.ai](https://hcompany.ai/)

## Products & Services
- **Holo Models API (Holo3)**: Multimodal AI models designed to interpret content and operate across real-world digital workflows. Available via API for enterprise integration.
- **HoloTab**: A Chrome extension that deploys an AI agent inside the browser. It navigates websites, fills out forms, and completes tasks on behalf of the user. Users can create "Routines" to automate manual chores.
- **Autonomous Enterprise Operations Platform**: A full-stack enterprise platform combining models, advanced agents, scalable execution, and continuous learning for deploying "action-oriented AI" in production.

## Market Standing
- **Valuation**: Not publicly disclosed (Privately held)
- **Total Funding**: $220M raised (Seed Round completed May 2024) [pitchbook.com](https://pitchbook.com/profiles/company/597244-24)
- **Key Metric**: 90 employees (as of 2026); generating revenue [pitchbook.com](https://pitchbook.com/profiles/company/597244-24)
- **Notable Investors/Partners**: Accel, Aglaé Ventures, Amazon.com, Auriga Cyber Ventures, La French Tech (24 total investors) [pitchbook.com](https://pitchbook.com/profiles/company/597244-24)
- **Growth Signals**: Acquired Mithril Security (Jan 2024); maintains a wholly-owned subsidiary H.Ai Technology in London; active hiring across Research Lab, Forward Deployed Engineering, and Product Development teams

## Competitive Advantages
- **Full-stack approach**: Combines proprietary multimodal models, browser-based agents (HoloTab), and enterprise orchestration into a single platform rather than point solutions.
- **Deep research foundation**: Leadership includes former foundational AI researchers who have scaled products used by governments and the world’s largest enterprises [hcompany.ai/team](https://hcompany.ai/team)
- **First-mover in browser-based enterprise agents**: HoloTab competes in the emerging "AI agent doing work in your browser" category, differentiated by enterprise-grade reliability and routine automation.
- **Strong investor syndicate**: Backed by Accel, Aglaé Ventures, and Amazon.com — signaling confidence in enterprise AI deployment.

## Strategic Focus
- Scaling agentic AI from browser extensions (HoloTab) to full enterprise-wide autonomous operations
- Expanding the Holo Models API (Holo3) as a platform for third-party developers and enterprise integrations
- Growing the Forward Deployed Engineering (FDE) team to customize solutions for large enterprise clients
- Continuing research into reliable, action-oriented AI systems that can be trusted in production environments

## Why Work Here
- **Culture**: Described as "fast-moving, creative, and collaborative" with a "high-trust, multicultural environment." Values include integrity, curiosity, impact-first mentality, and "ship fast, learn faster" [hcompany.ai/careers](https://hcompany.ai/careers)
- **Work style**: Hackathons spark bold ideas, regular offsites, team celebrations. "Everyone’s empowered to take initiative, fix what’s broken, and own outcomes." [hcompany.ai/careers](https://hcompany.ai/careers)
- **Team composition**: A blend of deep research expertise and hands-on experience building and deploying mission-critical technology at global scale. Teams include Research Lab, Forward Deployed Engineering, and Product Development [hcompany.ai/team](https://hcompany.ai/team)
- **Locations**: Headquarters in Paris, hub in London. Roles likely span both offices with flexibility (policy not explicitly stated).
- **Role types actively hiring**: Research, Forward Deployed Engineering, Product Development [jobs.ashbyhq.com/hcompany](https://jobs.ashbyhq.com/hcompany)

## Sources
1. [hcompany.ai](https://hcompany.ai/) — Official website with product descriptions, mission, and platform overview
2. [hcompany.ai/team](https://hcompany.ai/team) — Leadership team, values, and team structure
3. [hcompany.ai/careers](https://hcompany.ai/careers) — Culture, values, and hiring philosophy
4. [jobs.ashbyhq.com/hcompany](https://jobs.ashbyhq.com/hcompany) — Active job openings
5. [pitchbook.com](https://pitchbook.com/profiles/company/597244-24) — Funding history, valuation, investors, employee count, and acquisition data

## Other roles at H Company

- [Digital Manager](https://feeny.ai/job/digital-manager-h-company-paris-cym5dpsb2ned) — Paris, France
- [Content Manager](https://feeny.ai/job/content-manager-h-company-paris-ksf7evcjs497) — Paris, France
- [Social Media and Content Strategist - Community](https://feeny.ai/job/social-media-and-content-strategist-community-h-company-paris-aq4wcyhgk9dm) — Paris, France
- [Business Partner / Executive assistant to CEO](https://feeny.ai/job/business-partner-executive-assistant-to-ceo-h-company-paris-fvv7y2xhvbg6) — Paris, France
- [Infrastructure Engineer (ML Compute) - London](https://feeny.ai/job/infrastructure-engineer-ml-compute-london-h-company-london-4ns334xrmxmc) — London, United Kingdom
- [Product Designer - Paris](https://feeny.ai/job/product-designer-paris-h-company-paris-x0q7jf2tsexe) — Paris, France
- [Product Designer - London](https://feeny.ai/job/product-designer-london-h-company-london-88e2tsm70qwt) — London, United Kingdom
- [Senior Full Stack Engineer](https://feeny.ai/job/senior-full-stack-engineer-h-company-london-hpack26mhfaa) — London, United Kingdom
- [Technical Lead, Observability - Paris](https://feeny.ai/job/technical-lead-observability-paris-h-company-paris-53k7x9425fje) — Paris, France
- [Technical Lead, Observability - London](https://feeny.ai/job/technical-lead-observability-london-h-company-london-5dfj3p95nvqb) — London, United Kingdom