Tech Architect - PE

Qualifications

• 10+ years of experience in platform engineering and architecture.
• Strong expertise in Slurm and distributed training environments.
• Hands-on experience with Red Hat OpenShift and/or Kubernetes.
• Deep knowledge of the NVIDIA GPU ecosystem (CUDA, cuDNN, NCCL, Triton).
• Solid foundation in Linux systems and multi-GPU optimization.
• Experience deploying GenAI workloads, including LLM fine-tuning and RAG pipelines.
• Familiarity with Infrastructure-as-Code tools like Terraform and Ansible.

Responsibilities

• Design and implement scalable infrastructure for LLM and GenAI workloads.
• Perform GPU profiling and performance optimization for distributed training.
• Manage compute-intensive jobs using Slurm-based clusters and Kubernetes.
• Enable and optimize the NVIDIA GPU stack for high-performance tasks.
• Collaborate with teams to deploy models in production environments.
• Build and support GenAI pipelines for various AI applications.
• Develop reusable infrastructure templates using Terraform and Helm.

Benefits

• Make an impact at a rapidly growing AI-first digital engineering company.
• Upskill and tackle complex challenges with talented colleagues.
• Work in a research-focused organization with numerous patents.
• Gain exposure to cutting-edge AI, ML, and cloud technologies.
• Collaborate with Fortune 500 companies on innovative projects.