Own the creation of AI systems optimizing semiconductor design, product engineering, verification & validation, and manufacturing workflows using large-scale data
Architect and implement Agentic AI systems that integrate with Modeling tools, EDA tools, design environments, and product/manufacturing test platforms
Establish and promote Best Known Methods (BKMs) for deploying LLMs and agentic systems in live environments
Benchmark and evaluate model performance using structured evaluation frameworks
Collaborate with multi-functional teams—including process engineers, design engineers, product and test engineers, and data scientists to define high-impact problem statements

Master’s, PhD, or equivalent experience in Electrical Engineering, Computer Science, or a related field with 10+ years of demonstrated experience
Proficient in Python, with five years of experience working with semiconductor design & process datasets
Proficient in using enterprise data platforms like Snowflake, BigQuery, MSSQL, Oracle, and AWS Redshift for scalable data processing and analysis
Hands-on experience building and leading AI/ML projects involving LLMs, RAG, and Agentic workflows
Demonstrated expertise in ML frameworks such as PyTorch or TensorFlow
Solid understanding of domain-adapted LLM training with practical experience, including pretraining, post training on in-domain synthetic datasets, and model quantization for efficient deployment
Proven cloud platform experience such as GCP, AWS, or Azure, including deployment of ML pipelines in production environments
Familiarity with LLM evaluation and benchmarking techniques, including RLHF, timely tuning, and reward modeling for hardware-aware use cases
Consistent track record to independently drive AI/ML projects from problem prioritization through deployment in semiconductor environments
Excellent interpersonal experience with the ability to collaborate with process technology, silicon design, design verification, validation, and product engineering teams, and translate sophisticated AI/ML concepts into actionable solutions for hardware development.

Principal Data Scientist, Agentic Platform

Key skills