Quality Assurance Engineer (KR)

Posted:
6/12/2024, 3:43:48 PM

Location(s):
Seoul, South Korea

Experience Level(s):
Senior

Field(s):
QA & Testing

Workplace Type:
Hybrid

As a quality assurance engineer, you will lead tests for multiple AI software products. Our platform is mission-critical and requires an understanding of functional and non-functional requirements for manufacturing AI software. You must handle ambiguous challenges in our fast-moving startup environment.
We seek a high-energy, talented quality assurance engineer to work with multiple development teams and stakeholders globally to drive test strategy and implementation. A successful candidate will have strong technical abilities, excellent project management skills, great communication skills, and motivation to achieve results in a fast-paced environment.
You will lead the release of large-scale software products with AI technologies for the manufacturing industry, influencing our strategy by spearheading best practices for quality products. You will work with passionate and talented software and AI engineers. You will adopt and maintain the automated test infrastructure for manufacturing AI applications. You will evaluate current test plans, identify coverage gaps, and create test strategies and cases to improve product quality. Additionally, you will establish a reliable continuous build and test cycle with meaningful reporting.
Engaging with a cross-disciplinary staff, you will help conceive, design, and develop innovative manufacturing AI products. You must be responsive, flexible, and collaborative. Industry-leading technical abilities are essential to improve product quality. If you enjoy expanding your technical skills, building new tools, and working in a creative and experimental environment, this is the job for you!

Gauss Labs

Website: https://www.gausslabs.ai/

Headquarter Location: Palo Alto, California, United States

Employee Count: 11-50

Year Founded: 2020

IPO Status: Private

Last Funding Type: Corporate Round

Industries: Artificial Intelligence (AI) ⋅ Machine Learning ⋅ Manufacturing