Senior GenAI Platform Engineer — Scale Multi-GPU Infra

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

Benefits offered by this job

Impact at Quantiphi

Growth opportunities

Research-focused environment

Fortune 500 exposure

Job summary

Quantiphi is seeking a Senior Platform Engineer to design, optimize, and scale GenAI and LLM infrastructure across multi-GPU environments. You will profile GPUs, tune distributed training, and support production-grade deployments in collaboration with data science, MLOps, and application teams.

The role emphasizes building reusable infrastructure with Terraform/Helm, and deploying GenAI workloads using Slurm, OpenShift, and Kubernetes in cloud or on-prem environments.

Qualifications

• Proven experience with Slurm and distributed training environments.
• Hands-on expertise 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 across multi-GPU environments.
• 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 tools like Terraform and Helm.
• Contribute to internal innovation (PoCs, workshops) and support client-facing delivery engagements.

Skills

Slurm-based training

OpenShift/Kubernetes

NVIDIA GPU stack

Linux performance tuning

GenAI deployment

Terraform/Helm

Tools

Terraform

Helm

Ansible

Job description

Quantiphi is seeking a Senior Platform Engineer to design, optimize, and scale GenAI and LLM infrastructure across multi-GPU environments. You will profile GPUs, tune distributed training, and support production-grade deployments in collaboration with data science, MLOps, and application teams.

The role emphasizes building reusable infrastructure with Terraform/Helm, and deploying GenAI workloads using Slurm, OpenShift, and Kubernetes in cloud or on-prem environments.