Staff Product Engineer (GenAI, AI/ML & Advanced Data Analytics)
Core
Design, build, and scale GenAI, machine learning, and advanced data analytics solutions to improve semiconductor engineering productivity, decision-making, and workflow efficiency.
Role type
Staff Product Engineer (GenAI, AI/ML & Advanced Data Analytics)
Builds
Intelligent systems for code generation, data extraction, analytics, documentation automation, failure triage, and technical knowledge retrieval within semiconductor engineering workflows.
Domain
Semiconductor manufacturing and engineering
Deliverable
production ML models | product features
Required skills
Python, SQL, data analytics, visualization, agentic AI frameworks, LLM workflow engineering, distributed data processing, cloud deployment
Preferred skills
Experience with modern AI coding tools, LLM training and evaluation
Technologies
PySpark, BigQuery, PyTorch, TensorFlow, LangGraph, Google ADK, AutoGen, AgentEval, GCP, AWS, Azure
Responsibilities
Design and build GenAI-powered agentic systems; develop scalable data pipelines for heterogeneous engineering datasets; apply data science libraries for deep analysis and visualization; build and optimize LLM-based workflows including RAG and inference orchestration; develop and productionize ML models for classification, regression, and anomaly detection; implement distributed data processing techniques; partner with domain experts to translate engineering problems into AI solutions; support deployment and monitoring of AI/ML solutions in cloud environments; communicate technical findings to stakeholders; identify high-impact opportunities for AI/ML innovation.
Seniority
Staff, hands-on IC with strategic impact
