Architect - Platform Engineer

Job Summary

To design and optimize infrastructure for GenAI and LLM workloads, the full-time remote Architect - Platform Engineer will implement scalable solutions, perform GPU profiling, and manage compute-intensive jobs while collaborating with cross-functional teams to deploy cutting-edge AI applications.

Key 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

Required Qualifications

• Strong 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, Triton)
• Experience deploying GenAI workloads (LLM fine-tuning, RAG pipelines)
• Familiarity with Infrastructure-as-Code tools (Terraform, Ansible)