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The Application Development Engineer will be responsible for product development which includes the characterization of semiconductor reticle inspection products, customer support, and conducting tool demonstrations. The role involves collecting and analyzing data, publishing findings, and providing solutions to manufacturing yield issues in the semiconductor industry.

The Software Engineer will develop and maintain infrastructure for HPC solutions, focusing on data management and machine learning support. Candidates should have strong software development skills, particularly in C/C++ and Python, with a good understanding of multi-threaded systems and object-oriented design.

The Algorithm Engineer will create and maintain machine learning models and algorithms for PCB manufacturing. Responsibilities include designing algorithms, integrating them with existing products, selecting datasets, conducting tests, and performing statistical analyses.

Design and improve existing software, analyze complex problems, ensure robust and scalable code, manage technical risks, provide technical expertise, and participate in requirements definition.

The Software Engineer will enhance existing software through design and architectural improvements, solving complex problems. Responsibilities include writing robust, scalable code, assessing technical risks, participating in requirement reviews, and collaborating with various teams. Strong analytical skills and effective communication with staff and management are crucial for success.

The Product Development Engineer will work in the Engineering Technology team to conceptualize, develop, and test next-generation devices for chemical analysis technology, covering areas from microfluidics to spectrophotometric measurements. Responsibilities include requirements analysis, theoretical evaluations, identifying gaps in technology, conceptual device design, and testing the designs with supporting report generation.

The position involves supporting CI/CD infrastructure, automating builds, and maintaining build scripts. Responsibilities include collaborating with software development to improve pipelines, managing source code using GIT/GitHub, and supporting deployment activities with Docker and RPM. The role requires strong knowledge of virtualization and configuration management tools as well as scripting in multiple languages.