[FRESH GRAD ONLY] Associate Mechanical Design Engineer (Artificial Intelligence)

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.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Responsibilities

Support to integrate classical machine learning with Generative AI to support process applications such as anomaly detection, predictive maintenance, yield optimization and etc.; Assist in building and development of NLP (Natural Language Processing) pipelines from SMT/ Mechanical Assembly process engineering critical KPOV data manipulation (eg. SMT machine performance report, Mechanical assembly measurement output); Handling unstructured engineering data such as equipment logs, FA reports, and production records, suitable for NLP-based automation (classification, summarization, insights extraction).; Support in processing automation and digital transformation initiatives, with growing exposure to AI tools (LLMs, prompt engineering) for knowledge retrieval and decision support.; Develop and maintain prompt engineering strategies for improving model performance. Document experiment, design code, and system interfaces to ensure maintainability and scalability.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or related Engineering field.; Knowledge in Python and familiarity with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch and database (SQL) to perform data mining and analysis/ manipulation.; Knowledge & experienced in data analysis, statistical tools (Minitab/JMP), modeling (regression, DOE, distribution analysis), and large dataset handling, transitioning into Python-based data processing (Pandas, NumPy) for scalable analytics.; Strong analytical and problem-solving skills with attention to detail.; Excellent communication and teamwork skills.

Nice to have

Projects/ experienced showcasing classical ML + GenAI solutions. Familiarity with the Model Context Protocol (MCP) or standardized LLM/tool integrations.; 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.