GenAI Platform Architect: Multi-GPU Infrastructure Leader

Quantiphi, Inc.; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Quantiphi, Inc. is seeking a seasoned Architect - Platform Engineer to design, optimize, and scale GenAI infrastructure for multi-GPU environments. You will profiler GPUs, tune distributed training, and manage compute-heavy workloads across Slurm clusters and OpenShift/Kubernetes stacks.

Collaborate with data science, MLOps, and application teams to deploy models in research and production settings. Experience with Terraform/Ansible and cloud GPU platforms is essential for success.

Qualifications

• Strong 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, and 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.

Responsibilities

• Design and implement scalable infrastructure for LLM and GenAI workloads.
• Perform GPU profiling, benchmarking, and performance optimization for distributed training workloads.
• Manage and schedule compute-intensive jobs using Slurm-based clusters and OpenShift/Kubernetes environments.
• Enable and optimize the NVIDIA GPU stack (CUDA, cuDNN, NCCL, Triton, RAPIDS, etc.).
• Collaborate with cross-functional teams to deploy models in research and production environments.
• Build and support GenAI pipelines (fine-tuning, RAG, multi-modal inferencing, LLMOps).
• Develop reusable infrastructure templates using Terraform and Helm.
• Contribute to internal innovation and support client-facing delivery engagements.

Skills

Distributed training

Linux performance

GenAI workloads

NVIDIA GPU stack

Slurm

Tools

OpenShift

Kubernetes

CUDA

cuDNN

NCCL

Triton

TensorRT

Terraform

Ansible

Job description

Quantiphi, Inc. is seeking a seasoned Architect - Platform Engineer to design, optimize, and scale GenAI infrastructure for multi-GPU environments. You will profiler GPUs, tune distributed training, and manage compute-heavy workloads across Slurm clusters and OpenShift/Kubernetes stacks.

Collaborate with data science, MLOps, and application teams to deploy models in research and production settings. Experience with Terraform/Ansible and cloud GPU platforms is essential for success.