Staff AI Data Engineer – Wafer Fabrication - Fremont, CA, United States
Originally posted 9 September 2026 by the employer.
About the role
This role involves analyzing datasets generated by wafer fabrication processes to deepen understanding of process behavior, variation, and performance.
What you'll do
- Analyze datasets from wafer fabrication processes, equipment, sensors, metrology systems, and manufacturing execution systems.
- Apply statistical analysis, AI, machine learning, and data-mining techniques for process monitoring, anomaly detection, yield analysis, and root-cause investigation.
- Integrate data from multiple sources, including process recipes, equipment logs, sensor data, metrology results, and defect inspection.
- Translate analytical results into clear engineering insights and actionable recommendations.
- Develop reusable data pipelines, analytical tools, dashboards, and model-monitoring methods.
- Support design of experiments, process characterization, and continuous improvement activities.
What you'll need
- Minimum 2 years of experience with AI, including machine learning and statistical analytic techniques.
- Bachelor’s degree in Data Science, Engineering, Science, Computer Science or Mathematics.
- Professional experience applying machine learning, artificial intelligence, and data science to real-world engineering or manufacturing problems.
- Experience with handling large data sets in agentic AI/ML.
- Experience with SQL and modern data-processing or data-platform technologies.
- Programming skills in Python and experience with common data-science and machine-learning libraries.
- Experience in AI/ML model deployment through RESTful APIs, containerization, and container orchestration.
- Experience working with structured, time-series, sensor, or high-volume manufacturing data.
- Basic knowledge of statistical methods, experimental design, regression, classification, clustering, anomaly detection, and model evaluation.
Nice to have
- Master's degree.
- Experience with cloud-based ML training and inference using AWS, GCP, Azure, or Databricks.
- Exposure to wafer fabrication, photonics, and telecommunications.
Skills: AI, machine learning, wafer fabrication, yield analysis, process monitoring, Python
This role has been open 35 days — well below the 51-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · AI ML Hardware
|
Open roles in category
164
|
Median days open
51 d
|
Median salary
$191k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Coherent Corp | All employers we track in this specialty (164 roles · 44 employers) |
|---|---|---|
| Open roles in this specialty | 3 | 164 |
| Open roles in the wider Software, Firmware & Systems family | 33 | 6140 · 145 employers |
| Median days open | 35 d | 51 d (−16 d vs this employer) |
| Median salary (USD postings) | — | $191k |
Skills observed across this category: AI, machine learning, wafer fabrication, yield analysis, process monitoring, Python
Who's hiring in this category
- Micron Technology · 28 open roles · median 34 d
- NVIDIA · 26 open roles · median 189 d
- Qualcomm · 22 open roles · median 189 d
- Infineon Technologies · 10 open roles · median 43 d
- AMD · 8 open roles · median 65 d
- Applied Materials · 4 open roles · median 85 d
How we counted: 164 open Software Engineering Semiconductor (AI ML Hardware) roles from 44 employers tracked in the SemiconductorJobs index, counted 15 Oct 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.