Senior Platform Engineer

About the Role

We are seeking a Senior Platform Engineer to design, optimize, and scale infrastructure for GenAI and LLM workloads. This role is ideal for professionals with deep experience in GPU profiling, distributed training, and high-performance compute environments.

Key Responsibilities:

• Design scalable infrastructure for LLM/GenAI across multi-GPU environments (US/Canada).
• Perform GPU profiling, benchmarking, and optimization using Slurm-based clusters and OpenShift/Kubernetes.
• Manage the NVIDIA GPU stack including CUDA, cuDNN, NCCL, Triton, RAPIDS, etc.
• Deploy models in research and production environments via collaboration with Data Science and MLOps teams.
• Build GenAI pipelines for fine-tuning, RAG, multi-modal inferencing, and LLMOps.
• Create reusable IAC templates using Terraform and Helm.