Technologist, Product Development Engineering – AI​/ML Focus

Company Description

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.

Sandisk is seeking an accomplished Product Development Engineer with extensive expertise in AI/ML to lead innovative projects in NAND Flash test data analysis, yield optimization, and test time reduction. The ideal candidate will combine hands‑on technical proficiency with leadership skills, driving impactful solutions and mentoring junior engineers. This role offers the opportunity to work collaboratively across disciplines, advancing the future of semiconductor manufacturing through cutting‑edge AI/ML applications.

• Build and evaluate
  
  AI/ML modelsto analyze high volumes of semiconductor test data for yield optimization and test time reduction.
• Designend-to-end ML pipelines, including data preprocessing, feature engineering, model training, validation, and deployment
• Lead and manage projects with accountability, technical proficiency, and a high degree of ownership.
• Provide mentorship to junior engineers by delivering technical guidance, sharing industry’s best practices, and facilitating their professional development
• Explore physics‑informed machine learning with white box models and interpretable AI
• Collaborate with domain experts and product owners to translate business and manufacturing test problems into machine learning solutions
• Share findings through technical reports, presentations, internal publications, or patents

• Bachelor's or Master's degree in Electronics & Electrical Engineering/Computer Engineering, Data Science with 8+ years of experience in AI/ML development and application
• Strong foundation inmachine learning and statistical modeling
• Experience with SQL and Python
• Strong data handling and analysis libraries (e.g., Num Py, Pandas, scikit‑learn)
• Ability to work independently and collaboratively in a research‑driven engineering environment
• Excellent verbal and written communication skills
• Experience in MLOps including CI/CD for ML, reliable deployment workflows, and managing the model at all stages of the lifecycle
• Basic understanding or experience in design, production test, and NAND flash memory

• Good problem‑solving and analytical skills
• Experience working with Large Language Models (LLMs), such as:
• Model fine‑tuning
• Prompt engineering
• Retrieval‑Augmented Generation (RAG)
• Experience in Semiconductor manufacturing industry

Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender‑related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical…