HeartFlow
Graphics / Computational Geometry R&D Engineer
Research and Development | Redwood City, CA, United States


Job Description:
Description: An exciting and innovative healthcare company seeking to transform cardiology with computer vision and physiological simulation is looking for a talented computational geometry engineer whose primary responsibility will be to create, develop and evaluate new algorithms for geometrical anatomy representation and interaction. We expect to continue to be active in the research community, so interest and ability to publish, present and collaborate externally is encouraged.

Educational Requirements:
M.S. or Ph.D. in Computer Science or related field.

Work Experience:
Recent graduates are welcome. Industry work experience is a plus.

Skills:
  • Very strong theoretical and practical background in computational geometry, meshing, shape analysis, morphing and computer graphics.
  • Proficient in C, C++, OpenGL.  Ability to rapidly prototype code and develop products.
  • Development of mathematical algorithms for surface model generation and interactive editing.
  • Proven ability to develop new research ideas as demonstrated by a strong publication record and participation in conferences.
  • Experience working with implicit or explicit mesh geometry and spatial data structures
  • Outstanding written and verbal communication skills
  • Excellent interpersonal skills and a can-do attitude. Ability to work independently and prioritize work
  • Highly desirable: GPGPU experience, Python/Bash scripting, computational fluid dynamics experience, familiarity with image processing and medical imaging.

General:
HeartFlow is a mid-sized company located in Redwood City, CA which started from Stanford (by Prof. Charles Taylor and Christopher Zarins, MD). The company goal is to transform cardiovascular healthcare using precise personalized anatomical models derived from imaging, combined with accurate blood flow simulation to assess how to best treat a patient. Our first product, FFRct, targets coronary artery blockages and has received substantial press and excitement in the cardiology community, since it will make it possible to avoid for millions of patients an invasive diagnostic catheter procedure that is expensive and dangerous (1% mortality during this procedure). The core technologies of the company are accurate fluid simulation, robust computer vision and computational geometry.

Our business model gives us access to an unprecedented amount of highly annotated medical images, personalized anatomical models and simulated blood flow simulations that can be used to develop new algorithms for analyzing, representing and manipulating personalized anatomy at a large scale.  Help us bring computational geometry to medical imaging with a strong impact on patient care!
 
 



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