The Company is building a surgical intelligence platform that turns medical imaging into real-time 3D guidance for surgeons. Their technology is already deployed in hospitals, supporting life‑saving procedures and pushing the boundaries of what is possible in complex operations.
Responsibilities
- Define and own the technical architecture across AI/Perception, Platform Software, Hardware, and QA, setting integration standards and API contracts.
- Drive the immediate commercial priority: deliver an OEM‑integrated SDK for a major scope manufacturer, unlocking critical partnerships.
- Balance short‑term product delivery with long‑term R&D, exploring foundation models and sub‑millimeter navigation for future surgical applications.
- Scale the engineering team from 6 to 10‑12 by year‑end, building out a high‑performing, cross‑functional group.
- Navigate the regulatory landscape (FDA Class I/II, HIPAA, ISO 13485) to ensure product compliance and accelerate market access.
Qualifications
- Direct, hands‑on experience integrating software with real surgical or medical‑grade hardware. Theoretical systems design is not enough.
- Proven ability to lead and scale an engineering team of 10+ across software, AI/ML, and ideally regulatory functions.
- Expertise in edge compute and GPUs (e.g., NVIDIA Jetson/AGX), optimizing real‑time pipelines for ultra‑low latency.
- Working fluency with regulated, safety‑critical product development (FDA, HIPAA, ISO 13485).
- A builder’s mindset: comfortable making architectural calls without a playbook, thriving in an early‑stage, high‑ownership environment.
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