Bridge Neurotech
Ultrasound Imaging Scientist
Redwood City · On-site · Full-time · Posted Oct 12, 2026
- Education
- PhD (or equivalent experience) in ultrasound imaging, biomedical engineering, electrical engineering, or a related field.
About the job
Develop and validate functional ultrasound imaging sequences and reconstruction pipelines for a brain-computer interface platform, including transcranial imaging and human research studies.
What you'll do
- Develop, optimize, and quantitatively validate fUSI sequences and reconstruction pipelines, with a focus on transcranial performance.
- Characterize Butterfly research probes and define acquisition requirements for custom hardware.
- Design research-study imaging protocols, support data collection, and coordinate with the decoding team on data quality, throughput, and latency.
What they ask for
- PhD (or equivalent experience) in ultrasound imaging, biomedical engineering, electrical engineering, or a related field.
- Hands-on ultrafast ultrasound experience, including beamforming, plane-wave imaging, and image reconstruction.
- Command of imaging signal processing, including IQ demodulation, clutter/SVD filtering, Doppler and power-Doppler methods, and autocorrelation.
- Proficiency with research-grade imaging code (e.g., MATLAB and/or Python), probe hardware, and research acquisition platforms; direct fUSI or transcranial ultrasound experience.
Nice to have
- Familiarity with open-source beamforming frameworks such as the Mach beamformer.
- Experience designing or running human imaging studies; exposure to GPU-accelerated beamforming or real-time imaging pipelines.
Tools
Butterfly Network research platform, MATLAB, Python, Mach beamformer, GPU
AI focus
The imaging pipeline supplies data to AI-based neural decoding for brain-computer interface applications; the role partners with the decoding team on data needs.
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