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The role involves achieving sales targets, enhancing customer satisfaction, and building long-term business relationships in the machine tools technology sector.

The Sales Engineer will drive sales of high-tech machinery, generate leads, conduct presentations, and ensure customer satisfaction. Responsibilities include preparing quotations, collaborating with teams, and achieving sales targets.

The Equipment Engineer ensures reliable tool maintenance in the Semiconductor Fab, coaches staff, organizes spares, performs preventive maintenance, and interacts with vendors for installations and upgrades.

Lead and support digital optimization projects by analyzing end-to-end processes, implementing low-code/no-code solutions, collaborating with development teams, creating BPMN-based documentation and tests, evaluating digital solutions, and delivering Power BI training to business units during digital transformation.

Responsible for warehouse duties including storing and retrieving parts/materials and supporting warehouse organization. Requires teamwork and flexibility.

The role involves receiving and organizing materials in a warehouse, conducting inventory counts, and supplying materials to production areas as needed.

Lead full-cycle recruitment for technical and corporate roles, design talent strategies, leverage KPIs, ensure compliance, and mentor junior recruiters.

The Services Engineer will be responsible for installations, preventive and corrective maintenance, and completing weekly and monthly service and expense reports. Travel to US or Europe for training is required.

Evaluate and prototype quantum and hybrid quantum-classical algorithms for industrial use cases, build HPC-integrated demonstrators, benchmark against classical methods, document performance, collaborate with domain experts, present results to stakeholders, and shape technology roadmaps while cultivating academic and industry partnerships.

Develop, deploy and improve cloud-based data pipelines for high-power laser systems. Collaborate with R&D, production and service teams to build condition monitoring and predictive maintenance solutions, transform analytics into scalable cloud applications handling large machine and signal data, and maintain cloud data infrastructure with architects, IT teams, customers and suppliers.