GenAI & AI/ML Engineering Summer Intern

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

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