| Location | Palo Alto, CA |
About LVIS
LVIS Corporation is on a mission to revolutionize the entire continuum of neurological care by
enabling AI driven digital analytics to help physicians accelerate patient throughput by
transforming signal analysis and visualization. The LVIS software, NeuroMatch®, utilizes
brainwave signals from traditional EEG systems to enable AI driven algorithms to perform EEG
source localization, spike and seizure event detection. We have an international team with our
headquarters located in Palo Alto, California, USA and we have an office in Gangnam, Seoul,
South Korea. We are looking for talented individuals to join us in transforming the neurology
health care industry.
About the Role
NeuroMatch renders large volumes of EEG and neurological data through interactive 2D and 3D
visualizations in the browser. This includes a custom, low level WebGL2 rendering engine for
real time signal and waveform visualization, with GPU accelerated signal processing (GPGPU),
plus a Three.js based 3D brain visualization layer, both built on top of our Vue frontend.
We're looking for a senior WebGL / graphics engineer to take ownership of this visualization
technology: extending the custom rendering engine, maintaining the 3D brain visualization layer,
and solving the GPU performance and large dataset problems that come with continuously
streamed clinical data.
You'll work closely with frontend engineers, neuroscientists, and clinical specialists to translate
scientific algorithms and reference implementations into fast, precise, production visualization Software.
Requirements
Own and extend our custom WebGL2 rendering engine used for real time EEG
waveform and signal visualization.
Maintain and build out our Three.js based 3D brain visualization components (source
localization, spike and seizure networks, and related views).
Design and implement GPU accelerated (GPGPU) signal processing techniques for in
browser filtering and data preparation.
Optimize GPU and CPU performance, memory use, and rendering throughput for large,
continuously streamed datasets.
Write and optimize GLSL shaders for custom rendering and data processing pipelines.
Integrate visualization components into our Vue based frontend application.
Collaborate with neuroscientists and clinical specialists to implement algorithms and
reference implementations as production software.
Profile and resolve rendering performance issues, memory issues, visual artifacts, and
browser/GPU compatibility problems.
Contribute to frontend architecture, code quality, and technical design reviews.
Basic Qualifications
5+ years of professional software development experience, with substantial hands on
WebGL 2.0 / GLSL development (not just framework usage).
Strong JavaScript (ES6) / TypeScript skills.
Direct experience writing and debugging GLSL shaders, and working with GPU buffers,
textures, and render pipelines.
Experience building and maintaining complex, interactive, browser based applications
handling large or streaming datasets.
BS or higher degree in Computer Science, Electrical Engineering, or a related technical
field, or equivalent practical experience.
Preferred Qualifications
Experience with Three.js and Vue.js.
Hands on experience with digital signal processing, such as digital filter design or noise
reduction.
Familiarity with GPGPU techniques using WebGL, and with floating point standards such
as IEEE 754.
Familiarity with OpenGL, Vulkan, Direct3D, Metal, SPIR-V, HLSL, OpenCL, or CUDA.
Experience with WebAssembly, Web Workers, SharedArrayBuffer, or SIMD based
browser performance techniques.
Experience with large scale data visualization (medical, scientific, geospatial, or
financial).
Experience with Emscripten or C/C++ to WebAssembly workflows.
Experience with automated testing, CI/CD, and git based code review practices.
Experience with EEG, neuroscience, or medical software is helpful but not required; our
science and clinical teams provide the domain knowledge needed.
Preferred Qualifications
Rendering large EEG waveform datasets smoothly and in real time in the browser.
Visualizing neurological activity on interactive 3D brain models.
Building GPU accelerated signal processing and visualization pipelines.
Improving rendering performance and reducing memory use for long duration EEG
recordings.
Building visualization tools that let physicians and researchers explore complex
neurological data interactively.
Other Information
Benefits
Compensation