Analyze and enhance the existing Digital Quality Control (DQC) solution to support its transition into daily manufacturing operations
Develop user-friendly software features and workflows that improve quality control, usability, and operational efficiency
Collaborate with operators, engineers, shift leaders, and quality specialists to gather requirements and implement practical solutions
Support the integration of manufacturing process controls and quality checkpoints into digital systems
Analyze process and quality data, identify trends, and contribute to data-driven improvement initiatives
Create dashboards, reports, and visualizations to support operational and quality-related decision making
Participate in testing, validation, deployment, and user training activities to ensure a successful system rollout
Contribute to technical documentation, work instructions, and continuous improvement efforts that enhance long-term system reliability and performance.
Requisiti principali
Degree, apprenticeship, relevant training, or practical experience in Computer Science, Software Engineering, Data Science, Electrical Engineering, Industrial Engineering, Semiconductor Engineering, Mechatronics, or a related technical field
Experience with software development using Python, C#, JavaScript, or similar programming languages
Familiarity with databases, SQL, and data management concepts
Understanding of data visualization, reporting tools, and analytical methods
Knowledge of software testing, debugging, and quality assurance practices
Interest in digital manufacturing, Industry 4.0, process automation, and continuous improvement
Strong analytical and problem-solving skills with a hands-on and proactive mindset
Effective communication skills and the ability to collaborate with multidisciplinary teams in a manufacturing environment.
