LVIS

HQ
Palo Alto
43 Total Employees

Jobs at LVIS

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Recently posted jobs

2 Days AgoSaved
In-Office
Seoul, KOR
Healthtech
Own and extend a custom WebGL2 rendering engine for real-time EEG visualization, maintain Three.js 3D brain visualizations, and develop GPU-accelerated signal processing. Optimize rendering, memory, and performance for large streaming datasets; write GLSL shaders; integrate visualization features into a Vue frontend; and collaborate with neuroscientists and clinical specialists to productionize scientific algorithms.
9 Days AgoSaved
In-Office
Palo Alto, CA, USA
Healthtech
The Senior DevOps Engineer will manage and optimize AWS cloud infrastructure, develop CI/CD pipelines, enhance application reliability, and ensure security best practices while collaborating with teams to improve services.
One Month AgoSaved
In-Office
Palo Alto, CA, USA
Healthtech
The Director, Strategic Finance & IR will lead financial planning, investor relations, and business strategy efforts, collaborating with executive leadership and engaging with investors.
One Month AgoSaved
In-Office
Seoul, KOR
Healthtech
Design and implement cloud-based backend systems including data ingestion and signal processing pipelines, account/billing/admin services, inter-regional cloud communication, and performance/stability optimization. Build scalable web APIs, storage solutions, and support CI/CD and code review practices.
2 Months AgoSaved
In-Office
Palo Alto, CA, USA
Healthtech
Lead and scale company operations across HR, compliance, legal coordination, and business administration. Build scalable processes, track operational metrics, manage contracts and vendor relationships, support budgeting and risk management, coordinate with external advisors, and drive cross-functional collaboration to enable company growth in a fast-paced startup.
2 Months AgoSaved
In-Office
Palo Alto, CA, USA
Healthtech
Develop and validate ML and deep learning algorithms for neural time-series and neuroimaging data. Perform signal processing, neural signal decoding, and collaborate with scientists, engineers, and physicians to deploy AI-driven neurology tools.