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Staff Performance Engineer
Confirmed live in the last 24 hours
Locations
Burlington, MA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
CUDA
Data Structures & Algorithms
C/C++/C#
Leadership
Python
MATLAB
Verilog
Requirements
  • M.S. in EE, Physics, or related field (or BS w/ relevant experience)
  • Competent in GPU programming
  • Strong software skills, especially in C, C++, Cuda, OpenCL, Python
  • Strong modeling skills using either Python or Matlab
  • Advanced Mathematical, Signal and Image Processing skills
  • Familiarity with different GPU hardware and development environments: example Vulcan)
  • Industry or academic experience in diagnostic ultrasound or related field (3+ years)
  • Fundamental knowledge of basic ultrasound modes: B-mode, Doppler Color Flow Imaging, etc
  • Project leadership skills, with the ability to coordinate the activities of colleagues
  • Basic knowledge of electrical analog and digital circuits
  • Ability to design and program FPGA's using Verilog
  • Understanding of beamforming, diffraction, synthetic aperture fundamentals
  • Understanding of human physiology, especially as it relates to ultrasound
Responsibilities
  • Developing new or evolving existing ultrasound modes
  • Developing the GPU algorithms that will process in the ultrasound signals real-time
  • Modifying the FPGA code to enable these novel ultrasound modes
  • Owning specific clinical applications (e.g. MSK), and becoming expert in the clinical needs of that community
  • Working closely with our clinical team to optimize your application for image quality
  • Partnering with our HW, SW, Transducer and ASIC teams to advance next generation devices
  • Owning specific parts of our image processing pipeline (e.g. frequency compounding, scan conversion). Implement these processes using Python, C++, or GPU coding
  • Perform a broad variety of tasks in support of the role and responsibilities
Butterfly Network

501-1,000 employees

Medical imaging device manufacturer
Company Overview
Butterfly Network designs a medical imaging device that reduces the cost of real-time and three-dimensional imaging and treatment.