Senior GenAI Platform Engineer: Multi-GPU & Kubernetes

Quantiphi; United States; Hybrid; USD 180,000 - 240,000; Full time

Job summary

Quantiphi is an AI-first global digital engineering company headquartered in Boston, with 4,000+ professionals worldwide and partnerships with leading cloud providers. We are seeking a Senior - Platform Engineer to design, optimize, and scale GenAI/LMM infrastructure across multi-GPU environments.

You will collaborate across data science, MLOps, and application teams to deploy cutting-edge AI solutions. The role emphasizes GPU profiling, distributed training, and building reusable infrastructure

Qualifications

• Strong experience with Slurm and distributed training environments.
• Hands-on expertise with OpenShift and Kubernetes.
• Deep knowledge of the NVIDIA GPU ecosystem (CUDA, cuDNN, NCCL, Nsight, 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, AWS, Azure, 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

OpenShift

Kubernetes

NVIDIA GPU ecosystem

Multi-GPU optimization

Linux performance tuning

LLM fine-tuning

RAG pipelines

MLOps collaboration

Tools

Terraform

Helm

Ansible

Job description

Quantiphi is an AI-first global digital engineering company headquartered in Boston, with 4,000+ professionals worldwide and partnerships with leading cloud providers. We are seeking a Senior - Platform Engineer to design, optimize, and scale GenAI/LMM infrastructure across multi-GPU environments.

You will collaborate across data science, MLOps, and application teams to deploy cutting-edge AI solutions. The role emphasizes GPU profiling, distributed training, and building reusable infrastructure