ApplySarthi Match jobs to your CV

ASIC Gen-AI Data Scientist

Micron

Make my CV for this job, freeView job and applyYour CV, rewritten for this role using only your real experience. Sign in with Google and upload your CV. Nothing to install.

Skills named in this job

Read from the description itself, not inferred.

This role on the market

2,015 open scientist roles across 306 companies are on ApplySarthi right now, most of them in Bengaluru (133), Hyderabad (68), Delhi NCR (33).

What scientist roles keep asking for: Python (47%), Machine learning (36%), SQL (22%), C++ (18%), Java (17%), Deep learning (14%), R (13%), LLMs (13%) — counted across their open postings here.

AWS jobs · Azure jobs · CSS jobs · Deep learning jobs

Micron has 1,982 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for scientist roles keep coming back to Python, Machine learning, SQL, C++. Practise those questions before you sit with Micron.

Questions you are likely to be asked

  1. Why do you want to join Micron?
  2. What is your experience with Generative AI? Tell me one thing you learned the hard way.
  3. How did you know your model was actually good, and not just good on your test set?
  4. Tell me about a time the data was messy or wrong. What did you do?
  5. How would you explain your model's result to someone who is not technical?

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

Practise the ASIC Gen-AI Data Scientist at Micron interview free →

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. Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing! 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. As part of the ASIC Technical Products Engineering organization, you will help drive the development of next-generation GenAI, machine learning, and sophisticated data analytics solutions for semiconductor engineering. In this role, you will work on intelligent systems that improve engineering productivity, strengthen technical decision-making, and unlock insights from complex ASIC pre and post silicon engineering workflows. You will collaborate with cross-functional teams across System Architecture, Logic Design, Analog/Mixed-Signal Design, Data Science and IT to prototype, build, and scale practical AI-driven solutions that improve quality, cost, cycle time, and engineering efficiency. 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 productionize 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 4+ years or Master’s degree with 2+ in Electrical Engineering, Computer Science, Data Science, Statistics, Artificial Intelligence, or a related field. Minimum 2 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 building and launching 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 cross-functional environments spanning systems architecture, engineering, data science, and IT. The US base salary range that Micron Technology estimates it could pay for this full-time position is: $119,000.00 - $286,000.00 a year Additional compensation may include benefits, bonuses and equity. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. 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 micron.com/careers/benefits . 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, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit micron.com/careers US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3) 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.

Match this job to your CV

ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.

Check my match →

Similar open roles

Need answers during your interview? Try Live Sarthi.

Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.

Try Live Sarthi free →

A Windows app, from the same team as ApplySarthi.

Listed on workday · posted 2026-09-02. ApplySarthi collects openings and links to application pages; the role is advertised by Micron, not by us.