GenAI & AI/ML Engineering Summer Intern

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. **Description** Job Description We are seeking a highly motivated GenAI & AI/ML Engineering Summer Intern to join our team. This role offers an exciting opportunity to revolutionize Sandisk’s semiconductor development workflows through cutting-edge AI technologies. ESSENTIAL DUTIES AND RESPONSIBILITIES: Generative AI: * Develop and deploy large language models (LLMs) inference pipelines for electronic design automation * Design Retrieval-Augmented Generation (RAG) systems and semantic search capabilities for engineering documentation management * Implement conversational AI agents for technical support * Develop prompt engineering strategies and fine-tuning approaches for domain-specific AI assistants * Build multimodal AI systems combining text, code, and design diagrams * Implement model versioning, A/B testing, and performance monitoring for GenAI systems * Optimize GenAI model performance for production environments * Build evaluation frameworks for generative AI model quality and safety AI/ML & Data Intelligence: * Develop machine learning models for design optimization and prediction * Build automated data pipelines and workflows for AI model training and inference * Create predictive analytics solutions using both traditional ML and generative approaches * Implement AI-driven anomaly detection and pattern recognition systems * Build dashboards and visualizations enhanced with natural language generation Learning Opportunities: * Hands-on experience with state-of-the-art commercial and open-source generative AI models * Deep dive into RAG architectures, vector databases, and semantic search technologies * Exposure to enterprise-scale GenAI infrastructure and LLMOps practices * Experience with cutting-edge semiconductor design flows and tools enhanced by AI * Mentorship from senior engineers specializing in both GenAI and semiconductor design domains * Opportunity to contribute to GenAI development and present at AI/semiconductor conferences Qualifications Required: * Currently enrolled in a Bachelor's, Master's, or Ph.D. program in Computer Science, Electrical Engineering, Computer Engineering, Data Science, or related technical field * Strong programming skills in Python and experience with AI and data analytics frameworks (Spark, Ray, pandas, scikit-learn, PyTorch, OpenAI API, or similar) * Fundamental understanding of machine learning and generative AI concepts and algorithms * Experience with data structures, algorithms, and software engineering principles * Basic knowledge of natural language processing (NLP) and Generative AI concepts * Familiarity with version control systems (Git) and collaborative development workflows * Curiosity about applying AI to semiconductor design and engineering workflows * Ability to quickly learn new technologies and adapt to evolving AI landscape * Strong attention to detail and commitment to code quality and documentation Preferred: * Hands-on experience with large language models (LLMs) and generative AI frameworks * Knowledge of Retrieval-Augmented Generation (RAG) systems and vector databases * Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) * Familiarity with MLOps practices, model deployment, and monitoring tools * Understanding of prompt engineering and fine-tuning techniques for language models * Experience with data pipeline tools (Apache Airflow) and workflow orchestration * Knowledge of semiconductor design flows, electronic design automation (EDA), or hardware description languages (Verilog, VHDL) * Experience with web development frameworks and API design * Familiarity with database systems (SQL, NoSQL) and data visualization tools * Previous internship, research, or project experience in AI/ML or Generative AI applications Additional Information Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate 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 disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the Equal Employment Opportunity is the Law poster. Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.