Frontend / WebGL Graphics Engineer
About the job
- At least 5 years of professional software development experience, with substantial hands-on WebGL 2.0 and GLSL development, not merely framework usage.
- Strong JavaScript (ES6) and 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 that handle large or streaming datasets.
- A bachelor's degree or higher in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
- Own and extend the custom WebGL2 rendering engine for real-time EEG waveform and signal visualization.
- Maintain and build out Three.js-based 3D brain visualization components for source localization, spike and seizure networks, and related views.
- Design and implement GPU-accelerated 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 the 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.
- 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 in medical, scientific, geospatial, or financial domains.
- 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; science and clinical teams provide the domain knowledge.
About the company
LVIS analyzes neural information to help diagnose neurological diseases by decoding brain networks. It develops EEG software that visualizes brain activity in detail for medical professionals and institutions. The product works by processing EEG data to map and display brain networks, enabling clinicians to interpret patterns associated with neurological conditions (with beta testing through the NeuroMatch Ambassador Program for early access and feedback). LVIS differentiates itself by its focus on brain-network decoding from EEG data and by collaborating closely with healthcare providers to ensure practical reliability, rather than broad consumer tech approaches. The company's goal is to provide clinicians with precise, network-level insights from EEG to improve neurological diagnosis and patient care, delivered through software licenses and partnerships.
Company Size
11-50
Company Stage
Series B
Total Funding
$15M
Headquarters
Palo Alto, California
Founded
2015
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Simplify's Take
What believers are saying
- LVIS won a 2026 Edison Silver Award, strengthening trust with neurologists and buyers.
- June 2025 ambulatory EEG launched, expanding usage into higher-volume outpatient workflows.
- September 2026 hiring for strategic finance and senior AI roles signals active commercialization and product expansion.
What critics are saying
- LVIS depends on a single regulated product; any FDA recall freezes revenue quickly.
- Hospitals can replace NeuroMatch with Persyst 14 or native EEG software during renewals.
- Private Market View shows uneven funding history; another capital raise likely arrives before 2027.
What makes LVIS unique
- NeuroMatch holds three FDA 510(k) clearances, including K250239 in May 2026.
- LVIS combines artifact reduction, seizure detection, and source-localized 3D/4D EEG visualization.
- Ten Korean hospitals already installed NeuroMatch, signaling real clinical workflow adoption.
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Benefits
- Flexible Work Hours
- Health Insurance
- Paid Vacation