Staff Engineer, ASIC Gen AI

Micron Technology, Inc.; Hyderabad; Sur place; INR 900 000 - 1 400 000; Plein temps

Résumé du poste

Micron Technology, Inc. is seeking a Staff Engineer for ASIC Gen AI to design and deploy GenAI-powered solutions across engineering workflows. You will build LLM-based processes, develop RAG pipelines, and integrate ML models for failure analysis and analytics in a semiconductor context.

The role emphasizes collaboration with domain experts, scalable AI/ML systems, and production readiness in cloud environments, with a focus on reliability and operational excellence.

Qualifications

• Bachelor's with 10+ years or Master's with 8+ in Electrical/CS/Data Science/AI.
• Hands-on AI development and deployment in engineering or semiconductors.
• Strong Python programming and familiarity with AI tooling.

Responsabilités

• GenAI system development for ASIC engineering workflows.
• LLM workflow design, prompting, RAG, benchmarking and evaluation.
• Develop ML models for classification, anomaly detection, analysis.
• Collaborate across teams to translate complex problems into AI solutions.
• Support deployment, monitoring, and operation of AI/ML in cloud environments.
• Communicate findings clearly to technical and non-technical stakeholders.
• Lead opportunities to improve productivity with GenAI and analytics.

Connaissances

Python

LLM workflows

RAG pipelines

Agentic AI

Cloud ML production

Formation

Bachelor's degree + 10+ years

Outils

Claude Code

Cursor

Gemini CLI

Description du poste

Staff Engineer, ASIC Gen AI

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Key Responsibilities

• GenAI System Development: Design, build, and improve GenAI-powered and agentic systems supporting ASIC semiconductor engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, root cause analysis, and technical knowledge retrieval.
• LLM Workflow Engineering: Build, evaluate, and optimize LLM-based workflows, including prompting, developing skills, retrieval-augmented generation (RAG and Graph-RAG), benchmarking, and quality evaluation.
• Machine Learning Production: Develop and implement machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support.
• Cross-Functional Collaboration: Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions.
• Production Deployment: Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments.
• Technical Communication: Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders.
• Innovation Leadership: Identify and drive high-impact opportunities where GenAI, machine learning, and analytics can improve engineering productivity and business outcomes!

Minimum Qualifications

• Bachelor's with 10+ years or Master’s degree with 8+ in Electrical Engineering, Computer Science, Data Science, Statistics, Artificial Intelligence, or a related field
• Minimum 4 years of hands-on experience developing and deploying AI applications in semiconductors, electronics, or other engineering industries.
• Strong programming proficiency in Python.
• Familiarity with modern AI coding tools / agentic coding harnesses, such as Claude Code, Cursor, Gemini CLI, or similar tools.
• Practical experience in developing and implementing AI/ML systems involving LLMs, including RAG, agentic workflows, and frameworks.

Preferred Qualifications

• Experience building agentic systems or AI solutions for ASIC semiconductor pre-silicon and post-silicon workflows.
• Deep understanding of semiconductor-specific AI/ML applications
• Cloud experience with GCP, AWS, or Azure, including deploying ML pipelines in production.
• Experience with LLM training, inference, and evaluation workflows, including prompt design, benchmarking, validation, or retrieval-augmented systems.
• Experience with data analytics and visualization to deliver actionable engineering insights using tools and libraries such as pandas, scikit-learn, matplotlib, plotly, or similar ecosystems.
• Experience with web application technologies such as JavaScript, HTML, and CSS.
• Experience designing scalable, enterprise-grade AI/ML systems with attention to reliability, traceability, and operational readiness.
• Familiarity with document-processing pipelines, technical knowledge platforms, or retrieval systems for engineering content.
• Experience working in multi-functional environments spanning systems architecture, engineering, data science, and IT.

Job Profile(s)

ASIC Engineer 4

Relocation level: (TBD)

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on Benefits | Micron Technology, Inc

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.