Software Engineer, Radiology image viewer

New LanternSan Francisco, CA
2d

About The Position

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.

Requirements

  • 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.

Responsibilities

  • 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.
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