ASIC Gen-AI Data Scientist
Reads like a ML Engineer role: putting models into production.
San Jose, CA, US; Folsom, CA, US
- Pay
$145,000–336,000/year — pay source
The US base salary range that Micron Technology estimates it could pay for this full-time position is: $145,000.00 - $336,000.00 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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingDesign and build GenAI and agentic systems for ASIC engineering workflows
Build, evaluate and optimize LLM workflows using RAG and Graph-RAG
Develop machine learning and deep learning models for anomaly detection and failure analysis
Support deployment and monitoring of AI/ML solutions in cloud and enterprise environments
Explain model results and recommendations to technical and non-technical stakeholders
From the employer’s posting
Design, build, and improve GenAI-powered and agentic systems supporting ASIC semiconductor engineering workflows
Build, evaluate, and optimize LLM-based workflows, including prompting, developing skills, retrieval-augmented generation (RAG and Graph-RAG)
Develop and implement machine learning and deep learning models for classification, regression, anomaly detection, failure analysis
Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments.
Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders.
Education & alternatives
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
Tools in this posting
- JavaScript
- Python
- AWS
- Azure
- GCP
- Matplotlib
- pandas
- Plotly
- scikit-learn
Source — Tool mentions in context
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):
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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 7, 2026 · 56 days ago
- Recorded sightings
- 145
- Last seen by us
- Nov 2, 2026
- Employer says posted
- Sep 2, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on careers.micron.com. The employer’s form will show what is required.
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Job description
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
The US base salary range that Micron Technology estimates it could pay for this full-time position is: $145,000.00 - $336,000.00 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.
- Location & working pattern
San Jose, CA, US; Folsom, CA, US
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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