Principal Imaging Engineer

Join to apply for the Principal Imaging Engineer role at Butterfly Network, Inc.

At Butterfly Network, we’re leading a digital revolution in medical imaging, transforming an industry that has long relied on bulky, analog systems. With our proprietary Ultrasound-on-Chip™ technology, we’re democratizing healthcare by shifting ultrasound from the expensive, stationary systems of the past to the connected, mobile, and software-enabled platforms of today. In 2018, we launched the world’s first handheld, whole-body ultrasound, Butterfly iQ – followed by iQ+ in 2020 and iQ3 in 2024, each more powerful than the last.

Our innovation doesn’t stop terfly combines our advanced device with intelligent software, AI, services, and education to drive adoption of affordable, accessible imaging. Our technology is proving to help clinicians, clinics, and hospitals enhance care, cut costs, and expand imaging access. We’ve been recognized by Prix Galien USA, Fierce 50, TIME’s Best Inventions, Fast Company’s World Changing Ideas, among other awards.

We’re a team of bold thinkers, problem-solvers, and innovators ready to shape the future of medical imaging. Let’s build something extraordinary together!

Do you consider yourself one of the best ultrasound imaging engineers in the world? Do you love the mathematics associated with beam forming the complex sound echoes returning from the body? Do you like to create the hardware and software that accelerate algorithms beyond what others believe possible? Do you like to modify algorithms to achieve even more efficient results? Do you enjoy collaborating with similarly talented and driven individuals?

Would you like to be part of the nimble, elite Ultrasound Imaging Team at the most progressive ultrasound producer in the medical device industry? If so, this role is for you.

The Imaging team at Butterfly Network are the experts that work at the intersection of all critical components of our business to make Butterfly’s magic happen. We work with our customers to correlate their clinical needs with our technical specifications. We innovate all of the ultrasound modes (b-mode, color imaging, 3D, PWD, biplane, needle-viz) that delight our customers. We champion hardware and software architectures required to achieve our clinical performance objectives.

We are the integrators, optimizers, and champions of Image Quality for every clinical application.

Join this team and help us change healthcare around the world.

• Developing new or evolving existing ultrasound modes.
• Owning specific clinical applications (e.g., cardiology) 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 HW, SW, Transducer and ASIC teams to advance next generation devices and innovate advanced processing algorithms.
• Owning specific parts of our image processing pipeline (e.g., frequency compounding, scan conversion). Implement these processes using Python, C++, or GPU coding.
• Performing a broad variety of tasks in support of the role and responsibilities.

Baseline skills/experiences/attributes:

• M.S. or Ph.D. in EE, Physics, or related field.
• Industry or academic experience in diagnostic ultrasound or related field (5+ years).
• Fundamental knowledge of basic ultrasound modes: B-mode, Doppler Color Flow Imaging, etc.
• Understanding of beamforming, diffraction, synthetic aperture fundamentals.
• Passionate and competent at working closely with the hardware.
• Strong software skills, especially in C, C++, CUDA, OpenCL, Python.
• Strong modeling skills using both Python and MATLAB.
• Advanced Mathematical, Signal and Image Processing skills.

Ideally, you also have these skills/experiences/attributes:

• 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 human physiology, especially as it relates to ultrasound.
• Familiarity with different GPU hardware and development environments (example Vulkan).

• Patient-C…