Gauss Labs
Gauss Labs is a pioneering company specializing in industrial AI solutions aimed at revolutionizing the manufacturing industry. With expertise in machine learning within the manufacturing domain, Gauss Labs seeks to go beyond human capabilities in process monitoring, control, and anomaly detection. The company offers products like Panoptes Virtual Metrology, Image Metrology, and Root Cause Analysis, designed to enhance manufacturing precision and efficiency. Initially focusing on the semiconductor industry, Gauss Labs plans to expand its advanced AI applications to sectors such as automotive, battery, electronics, and pharmaceuticals.
Industrial AI • Machine Learning • Data Science • Virtual Metrology • Manufacturing AI
DevOps Engineer
March 4
Gauss Labs
Gauss Labs is a pioneering company specializing in industrial AI solutions aimed at revolutionizing the manufacturing industry. With expertise in machine learning within the manufacturing domain, Gauss Labs seeks to go beyond human capabilities in process monitoring, control, and anomaly detection. The company offers products like Panoptes Virtual Metrology, Image Metrology, and Root Cause Analysis, designed to enhance manufacturing precision and efficiency. Initially focusing on the semiconductor industry, Gauss Labs plans to expand its advanced AI applications to sectors such as automotive, battery, electronics, and pharmaceuticals.
Industrial AI • Machine Learning • Data Science • Virtual Metrology • Manufacturing AI
📋 Description
• Gauss Labs is a leading innovator in AI solutions for the semiconductor industry. • We are seeking an experienced DevOps Engineer to join our dynamic team. • The ideal candidate will have 5-10 years of experience in DevOps, focusing on building and maintaining infrastructure, managing CI/CD pipelines, deploying cloud-native, and bare-metal applications, and supporting large-scale distributed systems.
🎯 Requirements
• Computer Science or related degree. • 5-10 years of experience in DevOps or Software Engineering roles, with a proven track record of supporting Kubernetes environments. • Ability to write applications and tooling, contributing to development efforts and automating processes.
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