Founding Engineer

OVERVIEW

Why this role stands out

• You will build the hardware and software ecosystem required to run real-time AI inside clinical settings.
• By overcoming infrastructure constraints like power and cooling, you will move V1 from prototype to production.
• This role involves defining a new category of edge compute that puts intelligence directly in the exam room.

COMPANY

About the company

• Well-funded healthcare AI startup

RESPONSIBILITIES

What you will do

• Design and deploy systems orchestration, containerization, and firmware pipelines for high-performance compute in non-datacenter environments.
• Optimize GPU acceleration and CUDA kernels to maintain sustained AI workloads under strict power and cooling constraints.
• Build and manage production-grade RAG pipelines and distributed systems that ensure reliability during critical clinical decision-making.

CANDIDATE PROFILE

Who this is a fit for

• Has 5-7 years of experience at top-tier tech companies, with a history of rapid promotions and ownership of complex systems.
• Possesses deep expertise in at least two areas: GPU/CUDA acceleration, distributed systems, RAG/LLM pipelines, or 3D graphics.
• Is a builder who takes smart risks and has a track record of creating high-impact open-source or personal technical projects.

WHAT MAKES IT REMARKABLE

Why this role is remarkable

• You will be one of the first ten employees, joining a pre-seed team currently closing a seed round from top-tier VCs.
• This is a rare opportunity to build a full-stack hardware and software ecosystem from scratch for a June 2026 launch.
• You will own the entire technical stack, making critical architectural decisions that define how AI interacts with physicians in real-time.