Hiring: Senior Platform Engineer Company: Quantiphi Location: United States Job Posted Time: 2026-09-16 16:38:46 Employment Type: Remote Target Skills & Keywords : AWS, Ansible, Azure, EHR, Epic Systems, Fine-tuning, GCP, HIPAA, Helm, Kubernetes, LLM, Linux, MLOps, Microsoft Excel, OCI, OpenShift, RAG, Red Hat, Snowflake, TensorRT, Terraform, Triton About the job Required Skills: •You’ll play a key role in building out GenAI platform foundations, supporting production-grade deployments, and partnering closely with data science, MLOps, and application teams to bring cutting-edge AI solutions to life. •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 •Partner cross-functionally 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 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, Nsight, Triton/TensorRT) •Strong foundation in Linux systems, performance tuning, and multi-GPU optimization •Operational familiarity with Infrastructure-as-Code tools (Terraform, Ansible) •Knowledge of LLMOps frameworks and MLOps integration •Operational familiarity with vector databases and retrieval systems for RAG architectures •Comfortable working in client-facing environments and collaborating with AI solution teams •Healthcare Domain Experience (Nice To Have) •Integration with EHR systems (e.g., Epic) Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!