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Advantest

Advantest (TSE: 6857) is the leading manufacturer of automatic test and measurement equipment used in the design and production of semiconductors for applications including 5G communications, the Internet of Things (IoT), autonomous vehicles, high performance computing (HPC) including artificial intelligence (AI) and machine learning, and more. Its leading-edge systems and products are integrated into the most advanced semiconductor production lines in the world. The company also conducts R&D to address emerging testing challenges and applications; develops advanced test-interface solutions for wafer sort and final test; produces scanning electron microscopes essential to photomask manufacturing; and offers system-level test solutions and other test-related accessories. Founded in Tokyo in 1954, Advantest is a global company with facilities around the world and an international commitment to sustainable practices and social responsibility. More information is available at www.advantest.com

15/04/2023
Full time
Data Science / ML Engineer (m/f/d)
Advantest 71034 Böblingen, Germany
If you want to directly shape future products and technologies, then this is your opportunity! Advantest is one of the world's leading providers of automatic test equipment for the semiconductor industry. We work closely together with leading companies in the most exciting, emerging markets to enable future technologies. Almost any modern smartphone, cloud system or automobile is relying on semiconductors that have been tested with our products. We strive for continuous improvement, especially in the areas of SW quality, performance, and reliability. Our core SW product is SmarTest - a large software system consisting of several million lines of C++/ Java code. More than 100.000 automated test cases are continuously executed, which results in a huge amount of test related data and metadata. We are looking for a Data Science / ML Engineer (m/f/d), who implements and optimizes the full data processing and analytics pipeline to enable continuous learning and improvement based on...