Software Engineer, Radiology image viewer

New Lantern is building an AI radiology resident—think Cursor for radiologists. Our application integrates the three software tools radiologists use all day [1], together with AI, to create a platform that saves radiologists toil and lets them focus on reading images and finding disease.

About this role

As a frontend or full-stack software engineer working on our in-browser radiology image viewer, you'll be responsible for building and maintaining a reliable, high performance app that enables radiologists to easily and efficiently view and analyze radiology images without getting in their way.

What you’ll do

• Take on end-to-end ownership for delivering a best-in-class radiology image viewer.

• Ship high‑performance, reliable, and easy-to-use image viewing, manipulation, and measurement tools using OHIF/Cornerstone 3D, TypeScript, and React.

• Profile and optimize viewer performance across imaging modalities and hardware, potentially including WebGL/WebGPU and Wasm.

• Improve viewer quality and reliability with pre-deployment automated testing, robust error handling, and graceful error recovery.

• Ensure the viewer is instrumented to detect failures and performance regressions, and remotely debug novel/unknown issues in the field.

• Collaborate with radiologists and clinical staff to discover requirements, build prototypes, and validate solutions.

• Partner with backend developers to improve overall system performance and reliability.

You have

• 4+ years building complex, graphics‑intensive web apps or PACS/DICOM viewers.

• Deep experience with TypeScript, React, and performance profiling in the browser.

• A product mindset with a bias to talk to users frequently and ship iteratively.

• An end-to-end ownership mindset across design, implementation, testing, and monitoring.

Nice to haves

• Prior contributions to OHIF/Cornerstone or other medical imaging software, or similar experience in adjacent computer graphics or visualization domains.

• Hands‑on experience with WebGL/WebGPU, WASM, and web/Chrome APIs.

• Experience with image processing, segmentation, 3D/VR viewers, annotations, and measurement tooling.

• Familiarity with DICOM standards and industry practices.

[1] a radiology image archive & viewer (PACS), a medical report dictation system, and work management system