Systems GPU Engineer



We are taking medical imaging where you never thought it could go – everywhere. We’re aiming to build a future healthcare system that’s unconstrained by the four walls of a hospital and engineered for a world where providers can see into every patient immediately. We are building an affordable handheld ultrasound device and workflow platform for a new era of medical care.

Job Responsibilities:

• Development of GPU-optimized signal and image processing pipelines in collaboration with a cross-functional team of experts, engineers and designers
• Development of automated test procedures and infrastructure of the pipelines
• Design reviews, code reviews, verification testing and analysis of the mobile application
• Ownership of particular imaging modes and features such as advanced image processing, 3D visualization, A.I. assisted detection, etc.

Education/Experience Requirements:

• B.S. in computer science, electrical engineering, or a related field. Ph.D. preferred
• 2+ years relevant experience in a software development role including experience with mobile OS’s if M.S, 1+ years if PhD.
• Demonstrated abilities of implementing realtime signal processing algorithms on a GPU
• Ultrasound and Medical Imaging background is a plus.
• Solid programming skills in iOS (Swift), Android (Java/C++), or Python and familiarity with GPU frameworks/SDKs such as Metal2, CUDA, OpenGL, OpenCL, or Vulkan.

Like what you see? Apply and join our team! We recently secured $220M in our Series C funding round and we’re rapidly growing our team. This position will be reporting On-site in Santa Clara.