General Application

About the role

You will own the design and execution of experiments that probe the fundamental biophysics of ultrasound-based neural modulation and imaging. You will architect measurement frameworks that translate raw data into clear, quantitative insights about brain function and device performance. You will partner closely with hardware and software teams to ensure that every prototype iteration is informed by rigorous, reproducible scientific observation. You will define and maintain validation protocols that keep our experimental record coherent and traceable across disciplines. You will lead the characterization effort for new transducers and waveforms, establishing baselines that inform both research and product decisions. You will document every methodological detail so clearly that another team could replicate your work without ambiguity or hand-holding. You will translate complex experimental outcomes into concise narratives that help cross-functional stakeholders understand tradeoffs and opportunities. You will proactively identify failure modes and edge cases in measurement systems, then drive improvements before they propagate into larger setbacks.

Key facts

What you'll do

Design and implement in vivo and ex vivo experimental protocols that probe the interaction between focused ultrasound and neural tissue.

Develop multimodal sensing strategies that combine ultrasound imaging, electrophysiology, and behavioral readouts into a unified characterization pipeline.

Build software tools for the acquisition, synchronization, and archival of high-dimensional experimental data, ensuring long-term reproducibility.

Construct calibration methodologies for transducers and waveforms, enabling quantitative comparison across devices and operating conditions.

Establish quality control metrics that flag anomalous measurements early, protecting the integrity of long-running studies.

Collaborate with material scientists and manufacturing partners to translate bench-level findings into scalable fabrication and assembly processes.

Create dashboards and visualization suites that expose real-time experiment health and historical performance trends for research and operations teams.

Define standard operating procedures that govern measurement uncertainty, error budgets, and reporting formats across the experimental group.

Lead cross-functional deep dives when unexpected results appear, coordinating root-cause analysis across hardware, software, and biology.

Translate strategic research questions into measurable hypotheses, designing studies that maximize insight per experimental run while respecting resource constraints.

Partner with regulatory and clinical teams to ensure that experimental practices align with evolving standards for safety and data integrity.

Champion an open-data mindset within the research group, balancing proprietary needs with the value of thorough metadata and shared context.

Mentor junior scientists and engineers in best practices for rigorous experimentation, documentation, and reproducible analysis.

Anticipate downstream dependencies between subsystems, mapping how changes in ultrasound delivery, sensing, or processing can ripple through the broader platform.

Requirements

You hold a doctoral degree in a relevant field such as neuroscience, biomedical engineering, physics, or a closely related discipline with a strong research background.

You possess a master's degree in a related technical field if you do not have a doctoral degree, accompanied by exceptional hands-on experience.

You have a demonstrated track record of designing and executing experiments that span both hardware and software components in a research or clinical setting.

You are fluent in statistical methods and experimental design, able to choose appropriate tests, control for confounds, and quantify uncertainty rigorously.

You have experience with ultrasound systems or neuromodulation technologies, or a rapid ability to become deeply proficient with such platforms.

You are comfortable working with large, complex datasets, implementing analysis pipelines that are efficient, reliable, and well documented.

You communicate clearly in both written and verbal form, able to distill technical findings for audiences with varied backgrounds.

You operate effectively in ambiguous, fast-moving environments, prioritizing critical tasks without sacrificing scientific rigor or safety considerations.

Nice to have

Experience with regulatory frameworks relevant to medical devices, particularly as they apply to neuromodulation or diagnostic imaging.

Familiarity with advanced ultrasound physics, such as wave propagation, diffraction, and tissue-moderated effects.

Hands-on work with in vivo animal studies or human subject research, including ethics oversight and welfare considerations.

Proficiency in programming languages commonly used in scientific computing, such as Python, MATLAB, or Julia, and with libraries for data analysis and visualization.

Background in machine learning or statistical modeling applied to neuroscience or biomedical data, including methods for pattern discovery and inference.

Experience with versioned data pipelines and infrastructure that supports reproducible research at scale.

Practical notes

This is a full-time position based in San Francisco.

Candidates must be authorized to work in the United States without sponsorship at this time.

Travel may be required in connection with regulatory meetings, clinical site visits, or collaborative research engagements.

This role is subject to applicable confidentiality and intellectual property agreements standard for the business unit.