Software Engineer (US)

March 12

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Gauss Labs

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We normalize AI. We revolutionize manufacturing.

Industrial AI • Machine Learning • Data Science • Virtual Metrology • Manufacturing AI

11 - 50

Description

• Design, develop and deploy secure, reliable, robust, and scalable software platform for Machine Learning services • Work with applied scientists to build solutions and products • Optimize Machine Learning software components for modern parallel architectures • Take responsibility for end-to-end development with high standards • Collaborate with project/program managers to understand customer needs and business problems

Requirements

• BS/MS/PhD degree in Computer Science and Engineering or strong industry experience • Industry experience in software development or platform engineering • Experience in developing software with high scalability, performance, and reliability • Expertise in data structures, algorithms, object-oriented software design, OS & computer architecture, networks, databases, etc. • Experience with at least one modern programming language such as Python, Java, JavaScript, and C/C++ • Preferred: experience in Hadoop, Spark, Kafka, Redis, Cassandra, Kubernetes, Kubeflow, or container technologies • Preferred: experience in developing cloud platform, server platform, or data platform • Development experience in a cloud service environment such as Amazon AWS, MS Azure, and Google Cloud Platform

Benefits

• Opportunities to learn various machine learning algorithms and gain insights around AI • Significant influence on overall strategy • Exceptional technical expertise required • Commitment to team work and strong communication skills