Senior Platform Engineer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience.If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!About QuantiphiQuantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.Since our founding in 2013, Quantiphi has tackled some of the world's most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology's sake.Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.We've Been Recognized With17x Google Cloud Partner of the Year awards in the last 8 years.3x AWS AI/ML award wins.3x NVIDIA Partner of the Year titles.2x Snowflake Partner of the Year awards.We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation.Your next big opportunity starts here!For more details, visit: Website or LinkedIn Page.Role: Senior Platform EngineerExperience Level: 10+ yrsWork Location: US East/Canada (Remote)Role OverviewWe are looking for a highly skilled Senior Platform Engineer to design, optimize, and scale infrastructure for GenAI and LLM workloads. This role is ideal for someone with deep hands-on experience in GPU profiling, distributed training, and high-performance compute environments.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.Key ResponsibilitiesDesign and implement scalable infrastructure for LLM and GenAI workloads across multi-GPU environmentsPerform GPU profiling, benchmarking, and performance optimization for distributed training workloadsManage and schedule compute-intensive jobs using Slurm-based clusters and OpenShift/Kubernetes environmentsEnable and optimize the NVIDIA GPU stack (CUDA, cuDNN, NCCL, Triton, RAPIDS, etc.)Collaborate with cross-functional teams to deploy models in research and production environmentsBuild and support GenAI pipelines (fine-tuning, RAG, multi-modal inferencing, LLMOps)Develop reusable infrastructure templates using tools like Terraform and HelmContribute to internal innovation (PoCs, workshops) and support client-facing delivery engagementsBasic QualificationsStrong experience with Slurm and distributed training environmentsHands-on expertise with Red Hat OpenShift and/or KubernetesDeep knowledge of the NVIDIA GPU ecosystem (CUDA, cuDNN, NCCL, Nsight, Triton/TensorRT)Strong foundation in Linux systems, performance tuning, and multi-GPU optimizationExperience deploying GenAI workloads (LLM fine-tuning, RAG pipelines, multi-modal systems)Familiarity with Infrastructure-as-Code tools (Terraform, Ansible)Experience with cloud GPU environments (GCP, Azure, AWS, OCI) and/or on-prem GPU clustersOther Qualifications (OQs)Experience with NVIDIA NIMs, DGX systems, or GPU-accelerated containersKnowledge of LLMOps frameworks and MLOps integrationFamiliarity with vector databases and retrieval systems for RAG architecturesComfortable working in client-facing environments and collaborating with AI solution teamsHealthcare Domain Experience (Nice To Have)Experience working with FHIR R4, HL7 v2, or SMART on FHIRIntegration with EHR systems (e.g., Epic)Understanding of HIPAA compliance and healthcare data privacyExposure to clinical workflows, CDS Hooks, or patient-facing applicationsExperience building clinical decision support systems or healthcare interoperability solutionsWhat's In It For YOU At QuantiphiMake an impact at one of the world's fastest-growing AI-first digital engineering companies.Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines. xhyhwjd Stay ahead of the curve immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!