Location
In office (Seoul)
Visa
Sponsors visas in United States; no register of this country names it
Employment
Full-Time
Confirmed on the employer's own hiring board on Nov 8, 2026. First seen by Alion on Jun 30, 2026. LVIS Corporation scores A on the Alion truth index.
Overview
Company
Impact
Profile match
LVIS Corporation advances neurological diagnosis with NeuroMatch, decoding brain networks and delivering clear visualizations that help clinicians see what was once invisible.
Company Description
LVIS Corporation is on a mission to revolutionize the entire continuum of neurological care by developing AI driven software tools to help physicians accelerate patient throughput and improve patient diagnostic and treatment outcomes. 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 our mission to transform the neurology health care industry.
Responsibilities
- Implementation of a data processing pipeline for cloud services such as data upload, signal processing, storage, etc.
- Design and implementation of backend administrative services such as account management, billing, payment, etc.
- Inter-regional cloud communication.
- Cloud service stability and performance optimization.
Requirements
Basic Qualifications
- 6+ years of experience in software product development.
- Strong programming skills in implementing web APIs using Java, Spring Framework, Hibernate, RDBMS, and No-SQL.
- BS degree in Computer Science, Electrical Engineering, or similar technical field.
- Experience in the implementation of the automated building, testing, and deployment environment and familiarity with code review using Git.
- Strong knowledge of algorithm design and data structures.
Preferred Qualifications
- Masters in Computer Science, Electrical Engineering, or similar technical field.
- Experience in the development of medical devices using HL7.
- Familiarity with the web development life cycle from planning, implementation, testing, to deployment and maintenance.
- Comfortable with both Java and Spring Framework.
- Experience in the optimization of deep neural networks for commercial use.
- Experience with cloud services such as AWS, Google Cloud, and Azure.
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