Data science jobs in Semiconductor Manufacturing industry
Data Science in Semiconductor Manufacturing
Semiconductor fabs generate enormous volumes of sensor and metrology data. Data science is applied to process control, defect detection, yield prediction, equipment health monitoring, and lithography optimisation.
Common roles
Process data scientists, yield engineering analysts, defect classification ML engineers, and equipment predictive maintenance specialists are in high demand across leading-edge and mature node fabs.
Key skills
Python, statistical process control, computer vision for defect inspection, time-series anomaly detection, multivariate analysis, and familiarity with semiconductor equipment data interfaces (SECS/GEM) are core.
KLA
Milpitas,
California,
United States
Algorithm Engineer - Deep Learning
fulltime
$136300 - $231700
$184000 - $253000
Applied Materials
Treviso,
,
Italy
Intel
Hillsboro,
Oregon,
United States
Systems Research Engineer/Scientist
fulltime
$122440 - $232190
Deep Learning Software Engineer
fulltime
KLA
Milpitas,
California,
United States
$136300 - $231700
KLA
Milpitas,
California,
United States
Deep Learning Engineering Intern
fulltime
$35 - $57
Expired
Applied Materials
Rehovot,
,
Israel
Deep Learning Expert
fulltime
KLA
Ann Arbor,
Michigan,
United States
$91200 - $155000