Open to AI infrastructure roles

Martin
Roch-Neirey

Network & Systems Engineer Montréal, Canada

Focused on AI infrastructure: GPU clusters, automation and networking, always with security in mind.

Portrait of Martin Roch-Neirey
AI infra GPU fleets at scale
HPC Slurm & Kubernetes
NetDevOps Automation-first infra

About

Engineering infrastructure that scales and stays secure.

I'm a network and systems engineer and a student at Polytechnique Montréal. What draws me most is AI infrastructure: the HPC clusters and GPU fleets that modern AI workloads run on. I've designed and operated them with Slurm and Kubernetes, orchestrating GPUs at scale.

That interest grew out of real work: a past role as a scientific collaborator and a run of student projects. It rests on a broader craft too, automation and NetDevOps, cloud computing and a mindset built around security, the foundations that keep large, complex infrastructures reliable. Right now I'm putting all of it into building Glow Up, a platform that brings intelligence to beauty and wellness, and which I co-founded.

AI infrastructureGPU clusters & HPCNetDevOps & automationComputer networksVirtualization & containers

Selected work

Projects across infrastructure, HPC and software.

SystemsDevelopmentOngoing

Glow Up: SaaS & Mobile App

An ecosystem for professionals and clients in the beauty & wellness sectors: a free SaaS for merchants, paired with a mobile app where clients discover tailored recommendations and book appointments.

Systems

Slurm HPC Cluster

Designed, planned and implemented the first and only Slurm cluster at HEIA-FR / iCoSys to manage GPUs used by many data scientists. The stack is deployed automatically, precisely monitored, and gives users access to multiple filesystems.

SystemsDevelopmentResearch

Carbon-Aware Workload Shifting with FLUIDOS

Part of the European research project FLUIDOS: carbon optimizations through strategic workload scheduling across multiple Kubernetes clusters, leveraging spatial and temporal variation in the carbon intensity of electricity.

Read my report My grade: 5.8 / 6
Systems

Efficiency of a Heterogeneous GPU Cluster

The iCoSys applied-research institute runs a large fleet of GPUs. This project analyzed and reported on the efficient use of the cluster, with concrete suggestions for significant improvements. Carried out under a fixed-term contract.

Systems

Managing RAM Memory in Containers

A study of memory management in containerized applications: how the Docker Engine and the Kubernetes orchestrator handle allocation, limitation and monitoring of RAM.

Read my report My grade: 5.6 / 6
Systems

Benchmarking Compute Capacity of Clusters

Used Terraform, Ansible and the High Performance Linpack benchmark to measure and compare the compute capacity of various clusters: vSphere, ESXi, OpenStack and Kubernetes.

Read my report My grade: 6 / 6
Development

Go Tic Tac Toe

A Tic Tac Toe game written in Go, backed by an SQL API storing game data and a language system. Built for the "Programmation élégante en Go" course at HEIA-FR.

GitHub My grade: 5.75 / 6
Development

Universe Simulator

A universe simulator in Java handling multiple types of interacting elements placed on a board, where they move, approach and repel each other. Built for the "Génie Logiciel 1" course at HEIA-FR.

GitHub My grade: 5.9 / 6
Development

Digital Sport

A virtual gym web app: members sign up and carry out exercises, connect with trainers, and pick subscriptions, with member, coach and admin panels. PHP + PostgreSQL on an MVC pattern built from scratch.

GitHub My grade: 20 / 20

Academic path

Three countries, one engineering discipline.

  1. 2025 Canada

    Master of Engineering, Computer Science & Communication Systems

    Polytechnique Montréal

  2. 2024 Switzerland

    BSc HES-SO, Computer Science & Communication Systems

    Haute école d'ingénierie et d'architecture de Fribourg

  3. 2021 France

    Technological University Diploma, Computer Networks & Telecommunications

    Université Savoie Mont-Blanc

Contact

Let's build something
reliable together.

Open to AI infrastructure, HPC and platform-engineering conversations. The fastest way to reach me is email.