This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Job Responsibility:
Develop new process for NPI, transfer to HVM without major quality issues
Analyze and optimize existing manufacturing processes to enhance efficiency and product quality
Develop and implement process improvement initiatives using methodologies such as Six Sigma and Lean
Design and conduct experiments to troubleshoot process issues and validate improvements
Develop and maintain factory automation applications with modern frontend tools
Develop and optimize Oracle SQL and Microsoft SQL Server queries for data access and reporting
Integrate factory systems and manufacturing equipment via web services, API calls, or SECS/GEM communication protocols
Support fine-tuning of pre-trained models on domain-specific datasets using techniques or full model training
Support system troubleshooting, software testing, and debugging during deployment and production ramp-up
Collaborate closely with process, equipment, factory automation and IT teams to deliver robust and efficient automation, machine learning and AI solutions
Requirements:
Masters/Degree in Mechatronic Engineering, Computer Engineering, Computer Science, Software Engineering, Electrical Engineering, Data Science, Artificial Intelligence, Machine Learning or a related technical field
Proficiency in statistical data analysis and process simulation software
Knowledge of statistical techniques in data science (regression, properties of distribution)
Knowledge in machine learning techniques (neural network, machine learning)
Knowledge in programming language (python, R) and database (SQL) to perform data mining and analysis
Strong analytic skills and problem-solving skills
Experience or academic projects related to manufacturing automation, MES integration, or factory data systems
Exposure to Industry 4.0 technologies, real-time dashboards, or digital transformation initiatives in manufacturing
Passionate about technology and continuous improvement in a factory environment
Strong communication and teamwork skills
Self-motivated, organized, and able to manage multiple tasks in a dynamic environment