Senior/Staff Product Engineer (GenAI, AI/ML & Advanced Data Analytics)

Job Title

Senior/Staff Product Engineer (GenAI, AI/ML & Advanced Data Analytics)

Role Summary

Develop and scale GenAI, machine learning, and advanced data-analytics solutions for semiconductor product engineering. Work within the HIG HBM Product Engineering team to build intelligent systems that improve engineering productivity, decision-making, and insights across manufacturing, validation, and engineering workflows.

Collaborate with product, design, systems, data science, IT, and manufacturing teams to prototype, productionize, and operate AI-driven capabilities that improve quality, cost, cycle time, and engineering efficiency.

Experience Level

Senior / Staff level. The posting specifies a minimum of 2 years of hands-on experience developing and deploying AI applications in semiconductors, electronics, or other engineering industries.

Responsibilities

Key responsibilities include designing, implementing, and operating GenAI/AI/ML solutions for semiconductor engineering workflows.

• Design, build, and improve GenAI-powered and agentic systems for code generation, data extraction, analytics, documentation automation, failure triage, and technical knowledge retrieval.
• Develop scalable data pipelines and analytical workflows to ingest, clean, transform, and analyze large, heterogeneous datasets from multiple engineering and manufacturing systems.
• Perform deep data analysis and create visualizations using Python, SQL, and data-science libraries to deliver actionable engineering insights.
• Build, evaluate, and optimize LLM-based workflows including prompting, retrieval-augmented generation (RAG), inference orchestration, benchmarking, and quality evaluation.
• Develop, productionize, and support machine learning and deep-learning models for classification, regression, anomaly detection, failure analysis, and decision support.
• Implement distributed data-processing techniques for data cleansing, outlier detection, and missing-data handling using large-scale frameworks.
• Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments.
• Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions.
• Communicate technical findings and recommendations clearly to technical and non-technical stakeholders.
• Identify and lead high-impact opportunities to apply GenAI, ML, and analytics to improve engineering productivity and business outcomes.

Requirements

Must-have technical skills and experience, followed by desirable skills.

• Minimum 2 years hands-on experience developing and deploying AI applications in semiconductors, electronics, or engineering industries.
• Proven experience developing and deploying AI/ML systems involving LLMs, including RAG and agentic workflows; experience with PyTorch or TensorFlow.
• Strong programming proficiency in Python and SQL.
• Strong data-analytics and visualization skills using libraries such as pandas, scikit-learn, matplotlib, and plotly.
• Experience with large-scale data processing frameworks (e.g., PySpark, BigQuery) and techniques for data cleansing, outlier handling, and missing-data treatment.
• Familiarity with agentic AI frameworks (e.g., LangGraph, Google ADK, AutoGen) and evaluation tools (e.g., AgentEval).
• Familiarity with modern AI coding / agentic coding tools and CLIs.
• Cloud experience with GCP, AWS, or Azure and deploying ML pipelines to production.
• Experience with LLM training, inference, prompt design, benchmarking, and validation workflows.
• Strong analytical, problem-solving, software development, communication skills, and a sense of ownership and engineering rigor.

Nice-to-have (preferred):

• Experience building agentic systems or AI solutions specific to semiconductor manufacturing, validation, yield improvement, reliability, or failure analysis.
• Deep understanding of deep-learning architectures and computer-vision techniques.
• Experience with enterprise data platforms (BigQuery, Snowflake, MSSQL, Oracle, Redshift) and Kubernetes or similar deployment frameworks.
• Experience designing scalable, enterprise-grade AI/ML systems with emphasis on reliability, traceability, and operational readiness; familiarity with document-processing and technical-knowledge retrieval systems.
• Experience with web application technologies (JavaScript, HTML, CSS) is a plus.

Education Requirements

Bachelor's or Master's degree in Electrical Engineering, Computer Science, Data Science, Statistics, Artificial Intelligence, or a related field (as listed in the posting).

About the Company

Company: Micron Technology

Headquarters: Boise, Idaho, USA

Micron Technology is a global leader in memory and storage solutions, dedicated to transforming how the world uses information. The company offers a diverse portfolio of high-performance DRAM, NAND, and NOR memory products under the Micron and Crucial brands. With a commitment to customer focus and technological innovation, Micron drives advancements in artificial intelligence, 5G, and other data-centric applications, empowering users to learn, communicate, and progress.