Cadence delivers remote patient monitoring and chronic disease management that improves outcomes and reduces cost at scale. Intelligent senior care that works better by working ahead. Backed by General Catalyst.
About the role
We are seeking a highly skilled and experienced AI Systems Engineer to join our team. This is a hands-on, senior individual contributor role that will be pivotal in leading the development, operations, and support of our entire AI infrastructure. You will be responsible for the entire lifecycle of our AI systems, from architecting and building high-performance GPU clusters to deploying and optimizing our most advanced AI models and agentic services.
More about this role
We are seeking a highly skilled and experienced AI Systems Engineer to join our team. This is a hands-on, senior individual contributor role that will be pivotal in leading the development, operations, and support of our entire AI infrastructure. You will be responsible for the entire lifecycle of our AI systems, from architecting and building high-performance GPU clusters to deploying and optimizing our most advanced AI models and agentic services.
Responsibilities
AI Infrastructure Architecture & Strategy: Lead the design and implementation of our next-generation AI infrastructure to support our Agentic AI initiatives. You will define the technical strategy for our on-premise GPU clusters, storage solutions, and networking to ensure optimal performance, scalability, and reliability for all our AI workloads.
Cloud AI Service Integration: Support and secure the use of public cloud AI services, including Azure OpenAI services and Google Cloud Platform (GCP) services like Gemini . This includes managing secure access, monitoring usage, and tracking billing to ensure cost-effectiveness. You will also have hands-on experience supporting compute, GPUs, and AI services on both GCP and...
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