Dev Ops Engineer

Cardiovascular disease is the #1 cause of morbidity and mortality in the world. Much of this could be prevented with better access to specialist care. Take stroke as an example: any delay in treatment can lead to permanent disability or death. However, due to a lack of specialist surgeons, the most effective intervention can only be performed in 2% of US hospitals. For patients who present to one of the 98% of hospitals that do not offer the surgery, treatment is either significantly delayed or not offered at all because timely transfer is not feasible.

Our mission is to bring state-of-the-art vascular intervention to anyone, anytime, regardless of their location. Our team of medical clinicians, roboticists, and machine learning experts are working to bridge this gap by building the world’s first remotely-operated, semi-autonomous endovascular surgical robot.

We’ve already done what nobody else could—using our system, doctors from around the world were able to remotely perform this procedure from as far as 8000 miles away. We now need your help to bring this technology out of the laboratory and into hospitals everywhere.

You'll own the developer platform for a small, multi-disciplinary engineering team building an autonomous surgical robot. The stack is primarily Python (ML, orchestration, much of the application code) with some C++ for performance-critical robot control and TypeScript for surgical UIs, running across on-prem lab compute, GPU workstations, and the cloud. You'll work directly with our software, ML, hardware, and data teams to make the development cycle fast and the deployments boring.

This is a team-of-one role. You'll set the platform direction, build it, and operate it.

Build and operate CI/CD covering our Python codebase (the bulk of the work), C++ robot control code, ML training pipelines, and TypeScript UIs — each with different testing and deploy patterns