At Veltneon, we are assembling a focused group of machine learning engineers and healthcare integration experts to construct reliable diagnostic support models.
Veltneon is currently **seed-stage**. We operate in high-agency, collaborative loops where every engineering team member owns complete layers of our clinical system.
We don't build generic analytics tools. We spend our days optimizing CUDA compilation files for H100 arrays, structuring DICOM parsing microservices, and auditing model safety weights with board-certified physicians.
If you want to solve complex, high-impact technical problems that directly reduce radiologist burnout and improve patient triage, you will thrive here.
Explore early positions at Veltneon. All roles are based in Chicago, IL (hybrid/on-site preferred).
Chicago, IL · Full-Time · Seed Equity + Competitive Base
Optimize local clinical inference models for X-ray segmentation. Requires experience compiling convolutional neural networks via CUDA, cuDNN, and TensorRT on dedicated H100 clusters.
Apply For RoleChicago, IL / Remote · Full-Time · Seed Equity + Base
Architect our data exchange layers connecting Auravita to DICOM routers, PACS networks, and Epic/Cerner sandboxes. Requires experience with HL7, FHIR, and hospital subnets.
Apply For RoleWe are always seeking talented system engineers, medical research advisors, and hardware operators. Connect with us.