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Would you like to create novel software that helps make Moore's Law possible? Would you like to create and implement Java software designs that help our customers – semiconductors manufacturers – reach new standards of quality and create smaller and faster computer chips? At the company we create full-stack software products that run in themost modern Semiconductor Fabs in the world, and we are always pushing the boundary of what is possible. 

We are always looking for talented Java developers who know how to apply the latest Java EE technologies, to join the teams responsible for creating software for automation of high volume manufacturing in semiconductor fabs. This could be your next job, so if you would like to join us – please apply!

As a Java developer you will join one of our multinational Scrum teams to create state of the art software solutions. Teams are composed of five to seven developers, a Scrum Master and a Product Owner. We are committed to follow the Agile way of working, with sprints and demos every two weeks, aiming for frequent releases of working software. In all teams we cooperate with internal and external experts from different knowledge domains to discover and build the best solutions possible. We use tools like Continuous Integration with GIT, and Jira, and Bamboo. We move fast to help our customers reach their goals, and we strive to create reliable and well-tested software, as a failure in our software stack can severely impact customers' operations.
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Job Description
All these dedicated Java teams work in unison on different products and platforms across the company. Their domains are one or more of: (basically here are the different java teams explained in short).

• Server with plenty of storage. In this area, we use virtualization technologies, Linux, Python and Splunk next to Java;- Selection and management of IT infrastructure that helps us run the software on a multi-blade
• Creation of software infrastructure using Java EE which provides access to SQL and NoSQL storage, reliably manages job queues with switch-over and fail-over features, periodically collects of information from networked systems in the Fab and offers big-data-like storage and computational capabilities;
• Creation of a solution on-site that continuously monitors all scanners in a customer’s domain. The server can detect (upcoming) system failure and identify what correctiveactions are needed;
• Creation of a server on-site that continuously monitors all scanners in a customer’s domain. The server can detect (upcoming) system failure and identify what corrective actions are needed;
• Providing industrial automation tasks that take care of unattended complex adjustments to the manufacturing process, to enable highest yields in High Volume Manufacturing;
• Development of algorithms that give our customers the power to reach optimal results during manufacturing;
• Creation of applications that help fine-tune the manufacturing process, helping process engineers navigate the complexities of process set-up through excellent UX design with JavaFx/Swing;
• Creation of visualization and analytics applications, for visual performance monitoring and to help dig through huge amounts of data to pinpoint potential issues and solutions. For these applications, we use Spotfire and R as main technologies.
• Selection and management of IT infrastructure that helps us run the software on a multi-blade server with plenty of storage. In this area, we use virtualization technologies, Linux, Python and Splunk next to Java;
• Use emerging technologies to turn vision into reality, e.g. on big data and machine learning;

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