GenAI Platform Architect: Multi-GPU & MLOps Leader

Quantiphi; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Quantiphi is seeking an Architect - Platform Engineer to design, optimize, and scale GenAI and LLM infrastructure in multi-GPU environments. The role requires hands-on expertise with Slurm, OpenShift, Kubernetes, and the NVIDIA GPU stack to enable production-grade deployments.

You will collaborate with data science, MLOps, and application teams to build GenAI pipelines and reusable infra templates, contributing to PoCs and client engagements.

Qualifications

• Strong experience with Slurm and distributed training environments.
• Hands-on expertise with 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 scalable infrastructure for LLM and GenAI workloads across multi-GPU environments.
• Perform GPU profiling, benchmarking, and 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 PoCs and client-facing delivery engagements.

Skills

GenAI platform design

Distributed training

GPU profiling

Performance tuning

Cross-functional collaboration

Tools

Slurm

OpenShift

Kubernetes

Terraform

Ansible

NVIDIA CUDA

cuDNN

NCCL

Triton

TensorRT

Cloud GPU environments

Job description

Quantiphi is seeking an Architect - Platform Engineer to design, optimize, and scale GenAI and LLM infrastructure in multi-GPU environments. The role requires hands-on expertise with Slurm, OpenShift, Kubernetes, and the NVIDIA GPU stack to enable production-grade deployments.

You will collaborate with data science, MLOps, and application teams to build GenAI pipelines and reusable infra templates, contributing to PoCs and client engagements.