Staff Engineer, ASIC Gen AI

Micron Technology, Inc.; Bengaluru; Sur place; INR 3 500 000 - 5 500 000; Plein temps

Résumé du poste

Micron Technology, Inc. is seeking a senior GenAI Engineer in Bengaluru to design and deploy GenAI-powered workflows for ASIC engineering. You will build and optimize AI systems, including RAG-enabled pipelines, and work with data scientists and engineers to translate complex topics into scalable solutions. The role emphasizes reliable, production-grade AI tooling and collaboration across disciplines.

Qualifications

• Bachelor's with 10+ years or Master’s with 8+ in Electrical Engineering, Computer Science, Data Science, Statistics, AI or related field.
• Minimum 4 years hands-on experience developing and deploying AI applications in semiconductors or engineering industries.
• Strong programming proficiency in Python.

Responsabilités

• Design, build, and improve GenAI-powered systems for ASIC engineering workflows.
• Develop and optimize LLM workflows including prompting, RAG, and benchmark quality.
• Develop ML/DL models for classification, anomaly detection, and failure analysis.
• Collaborate with domain experts to translate engineering problems into scalable AI/ML solutions.
• Support deployment, monitoring, and operationalization of AI/ML solutions in cloud environments.
• Communicate technical findings clearly to technical and non-technical stakeholders.

Connaissances

Python

LLM workflows

Agentic AI tools

Formation

Bachelor's +10 years or Master's +8 years in EE/CS/Data Science/AI

Outils

Pandas

Scikit-learn

Matplotlib

Plotly

JavaScript

HTML

CSS

Description du poste

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 ResponsibilitiesGenAI 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 QualificationsBachelor's with 10+ years or Master’s degree with 8+ in Electrical Engineering, Computer Science, Data Science, Statistics, Artificial Intelligence, or a related fieldMinimum 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 QualificationsExperience building agentic systems or AI solutions for ASIC semiconductor pre-silicon and post-silicon workflows.Deep understanding of semiconductor-specific AI/ML applicationsCloud 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.About Micron Technology, Inc.We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron and Crucial brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.To learn more, please visit micron.com/careersAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.To request assistance with the application process and/or for reasonable accommodations, please contact [e-mail] Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.