Staff Engineer, ASIC Gen AI
At a glance
Senior AI Engineering role at Micron. Hyderabad · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build GenAI and agent-based systems for ASIC engineering tasks such as code generation, failure triage and technical knowledge retrieval
- Develop and assess LLM workflows using prompting, retrieval methods, agent skills and quality benchmarks
- Create machine-learning models for classification, anomaly detection, failure analysis and engineering decisions
- Work with engineering specialists to turn difficult problems into scalable AI and analytics solutions
- Help deploy and monitor AI solutions in cloud and enterprise settings, and explain findings to technical and non-technical groups
What you bring
- A bachelor's degree plus at least ten years of experience, or a master's plus eight, in a listed or related discipline
- At least four years building and deploying AI applications in semiconductors, electronics or another engineering field
- Strong Python skills and practical experience implementing LLM systems, including retrieval and agent workflows
- Hands-on familiarity with current AI coding assistants or agentic coding environments
Who this fits
This senior role suits an experienced AI practitioner who can apply LLM and machine-learning methods to engineering workflows and communicate results across technical and non-technical teams. The position is based in Hyderabad, India.
From the employer
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.
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/careers
All 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 hrsupport_india@micron.com
Micron 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.