Senior Platform Engineer
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Job Description
Senior Platform Engineer designing GPU infrastructure and GenAI platforms for Quantiphi, an AI-first digital engineering company. Optimizing distributed training, LLMOps, and production AI deployments across cloud and on-premises environments.
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
- 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, multimodal 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
Requirements:
- 5+ years of experience
- 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, including CUDA, cuDNN, NCCL, Nsight, Triton/TensorRT
- Strong foundation in Linux systems, performance tuning, and multi-GPU optimization
- Experience deploying GenAI workloads, including LLM fine-tuning, RAG pipelines, and multimodal systems
- Familiarity with Infrastructure-as-Code tools such as Terraform and Ansible
- Experience with cloud GPU environments including GCP, Azure, AWS, OCI and/or on-premises GPU clusters
- Experience with NVIDIA NIMs, DGX systems, or GPU-accelerated containers
- Knowledge of LLMOps frameworks and MLOps integration
- 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 is nice to have, including FHIR R4, HL7 v2, SMART on FHIR, EHR integrations, HIPAA, CDS Hooks, clinical workflows, and clinical decision support systems
Benefits:
- Upskilling and professional development opportunities
- Exposure to AI, ML, data, and cloud technologies
- Opportunity to work with Fortune 500 companies
- Research-focused organization with 60+ patents filed
- Collaboration with talented colleagues around the globe
- Hybrid work culture
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