Architect

• 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, including CUDA, cuDNN, NCCL, Triton, and RAPIDS
• Collaborate with cross-functional teams to deploy models in research and production environments
• Build and support GenAI pipelines, including fine-tuning, RAG, multi-modal inferencing, and LLMOps
• Develop reusable infrastructure templates using Terraform and Helm
• Contribute to internal innovation through proofs of concept and workshops
• Support client-facing delivery engagements
• Partner with data science, MLOps, and application teams to build production-grade GenAI platform foundations

Explore Tech Architect at Quantiphi. Review requirements and application details.

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