Founding Engineer

Founding Engineer - Real-Time AI Systems (Healthcare)We’re building something that doesn’t exist today: real-time AI that runs inside a doctor’s office. Today, AI in healthcare mostly lives in the cloud. It helps with notes and paperwork—but it’s not present when decisions are made. That’s because clinics don’t have the power, cooling, or infrastructure needed to run high-performance systems.We’re changing that.We’re building GPU-powered systems that run locally, inside clinical environments, enabling AI to operate in real time during patient care. This is a move from prototype to production, and early engineers will define how the system works end-to-end.Preferred Technical BackgroundDistributed computing and systems: Kubernetes, large-scale orchestration, reliability engineering at load, architecting data layer powering fast and intelligent applications and ensuring reliable, scalable, and secure data pipelines with clean APIs.GPU acceleration: CUDA kernels, NVIDIA stack, performance optimization in constrained hardware environmentsRetrieval-augmented generation and knowledge systems: RAG pipelines, vector databases, LLM integration in productionHigh-fidelity 3D graphics and visualization: real-time rendering, clinical or spatial data visualizationFront end (UI/UX) development: build responsive, performant end user interfaces across web and native mobile platforms, translating high-fidelity design specs into clean, maintainable code and obsessing over visual precision, fluid animations, and platform-native feel while collaborating closely with designers to achieve production quality.Systems orchestration: containerization, edge compute, firmware and software deployment pipelines in non-datacenter environmentsAdditional QualificationsStrong software engineering fundamentals and systems thinkingExperience building and owning production systemsAbility to operate independently in ambiguous environmentsStartup mentality with a bias toward action and ownershipCandidates must be currently authorized to work in the United States without the need for sponsorship Candidates must be currently located in the San Francisco Bay area and willing to work a hybrid scheduleCandidates with experience at organizations at NVIDIA or FAANG, strongly prioritized.Compensation & Benefits$225,000 + base salary, DOEEarly-stage equityFull health benefits401(k)Additional Job Application Terms:This job is part of LinkedIn’s Full-Service Hiring beta program. Eligibility is limited to candidates located in and performing services in the United States, excluding those based in Alaska, Hawaii, Nevada, South Carolina, or West Virginia.We’re committed to making our hiring process as smooth and timely as possible, and we understand that waiting to hear back can add to the anticipation. If you’re a potential fit, our team will reach out within two weeks to progress you to the next stage. If you don’t hear from us in that time, we encourage you to explore other opportunities with our team in the future, and we wish you the very best in your job search.