Remote GenAI Platform Architect for Scalable GPU Infra

Quantiphi; Canada; Hybrid; CAD 180,000 - 240,000; Full time

Job summary

Quantiphi is seeking a seasoned Architect - Platform Engineer to design, optimize, and scale GenAI and LLM infrastructure across multi-GPU environments. You will collaborate with data, ML, and software teams to deploy production-grade platforms and pipelines.

The role emphasizes IaC, HPC, and containerized deployments using Kubernetes/OpenShift, Terraform, and cloud GPU services. Remote-friendly with a strong hybrid culture.

Qualifications

• Experience with Slurm and distributed training environments.
• Hands-on experience with Red Hat OpenShift and/or Kubernetes.
• Deep knowledge of the NVIDIA GPU ecosystem (CUDA, cuDNN, NCCL, Nsight, Triton/TensorRT).
• Strong foundation in Linux systems, performance tuning, multi-GPU optimization.
• Experience deploying GenAI workloads (LLM fine-tuning, RAG pipelines, multi-modal systems).
• Familiarity with Infrastructure-as-Code tools (Terraform, Ansible).
• Experience with cloud GPU environments (GCP, Azure, AWS, OCI) and/or on-prem GPU clusters.
• Serve as a mentor or guide for senior resources / team leads.
• Lead the technical discussion regarding architecture design.

Responsibilities

• Design and implement scalable infrastructure for LLM and GenAI workloads across multi-GPU environments.

Skills

Slurm

Kubernetes

OpenShift

NVIDIA GPU

CUDA

cuDNN

NCCL

Triton

Linux

GPU optimization

Tools

Terraform

Ansible

Jenkins

SonarQube

Artifactory

Docker

Job description

Quantiphi is seeking a seasoned Architect - Platform Engineer to design, optimize, and scale GenAI and LLM infrastructure across multi-GPU environments. You will collaborate with data, ML, and software teams to deploy production-grade platforms and pipelines.

The role emphasizes IaC, HPC, and containerized deployments using Kubernetes/OpenShift, Terraform, and cloud GPU services. Remote-friendly with a strong hybrid culture.