ASIC Gen-AI Data Scientist - United States
$145,000 - $336,000 USD yearly
Originally posted 2 September 2026 by the employer — open 18 days.
This role focuses on GenAI, machine learning, and data analytics for semiconductor engineering.
About the role
This role involves driving the development of GenAI, machine learning, and advanced data analytics solutions for semiconductor engineering within the ASIC Technical Products Engineering organization.
What you'll do
- 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.
- Build, evaluate, and optimize LLM-based workflows, including prompting, developing skills, retrieval-augmented generation (RAG and Graph-RAG), benchmarking, and quality evaluation.
- Develop and implement machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support.
- Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions.
- 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.
What you'll need
- Bachelor's with 10+ years or Master’s degree with 8+ years 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.
Nice to have
- 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.
Skills: GenAI, machine learning, data analytics, semiconductor engineering, ASIC, LLM
This role has been open 18 days — well below the 67-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
516
|
Median days open
67 d
|
Median salary
$232k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Micron Technology | All employers we track in this specialty (516 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 32 | 516 |
| Open roles in the wider Software, Firmware & Systems family | 261 | 5829 · 143 employers |
| Median days open | 39 d | 67 d (−28 d vs this employer) |
| Median salary (USD postings) | — | $232k |
Skills observed across this category: GenAI, machine learning, data analytics, semiconductor engineering, ASIC, LLM
Who's hiring in this category
- Qualcomm · 106 open roles · median 99 d
- NVIDIA · 85 open roles · median 67 d
- AMD · 43 open roles · median 62 d
- Micron Technology (this employer) · 32 open roles · median 39 d
- Mobileye · 25 open roles · median 53 d
- Analog Devices · 14 open roles · median 24 d
How we counted: 516 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 21 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.