PDF Solutions
Overview
At PDF Solutions, we are at the forefront of revolutionizing the semiconductor industry. Our cutting-edge technologies and data-driven solutions empower semiconductor manufacturers to achieve unprecedented levels of efficiency, quality, and innovation. By joining our team, you'll have the opportunity to work with some of the brightest minds in the industry, tackle complex challenges, and contribute to groundbreaking advancements that shape the future of technology. Headquartered in Santa Clara, California, PDF Solutions also operates worldwide in Canada, China, France, Germany, Italy, Japan, Korea, and Taiwan.
We are seeking a
Senior Software Developer
to join our team, focusing on the development of cutting-edge machine learning and artificial intelligence solutions for the semiconductor industry. The ideal candidate will have extensive experience in creating robust and scalable software, with a strong background in data analysis, machine learning, and containerization technologies.
Responsibilities
Design and Implement ML/AI Algorithms:
Develop and implement advanced machine learning and AI-based algorithms for the automatic classification of defects in semiconductor inspection tools. Data Analysis:
Analyze large volumes of defect data to identify critical patterns, trends, and anomalies, using this analysis to inform model development. Model Development:
Train, validate, and deploy defect classification models, ensuring they meet strict performance and accuracy requirements. System Optimization:
Continuously improve the accuracy, efficiency, and reliability of the defect classification system through iterative development and optimization. Qualifications
Machine Learning & Data Science:
Extensive experience with data analysis and manipulation using
ML packages ,
pandas ,
numpy , and
scipy . Proven knowledge of machine learning concepts, including regression, statistical evaluation, and modeling, with hands-on experience using libraries like
scikit-learn . Experience summarizing and deriving insights from large volumes of complex data. Proficiency in handling and processing data in
HDF5
format with Python APIs. Containerization & Orchestration:
Strong practical experience with
Docker
for containerizing applications. Experience with
Kubernetes
for orchestrating and managing containerized applications at scale. Logging & Monitoring:
Experience with
ELK stack
applications, including
Elasticsearch ,
Logstash , and
Kibana , for data ingestion, analysis, and visualization.
Nice to Have (Add at least 3-4 nice to haves for this role)
Frontend Development:
Expertise in
React.js
and
Node.js
for building dynamic user interfaces and scalable backend services.
Time-Series Databases & Visualization:
Expertise in
InfluxDB
for time-series data storage and
Grafana
for data visualization and dashboarding.
Pay Range
USD $130,000.00 - USD $180,000.00 /Yr.
At PDF Solutions, we are at the forefront of revolutionizing the semiconductor industry. Our cutting-edge technologies and data-driven solutions empower semiconductor manufacturers to achieve unprecedented levels of efficiency, quality, and innovation. By joining our team, you'll have the opportunity to work with some of the brightest minds in the industry, tackle complex challenges, and contribute to groundbreaking advancements that shape the future of technology. Headquartered in Santa Clara, California, PDF Solutions also operates worldwide in Canada, China, France, Germany, Italy, Japan, Korea, and Taiwan.
We are seeking a
Senior Software Developer
to join our team, focusing on the development of cutting-edge machine learning and artificial intelligence solutions for the semiconductor industry. The ideal candidate will have extensive experience in creating robust and scalable software, with a strong background in data analysis, machine learning, and containerization technologies.
Responsibilities
Design and Implement ML/AI Algorithms:
Develop and implement advanced machine learning and AI-based algorithms for the automatic classification of defects in semiconductor inspection tools. Data Analysis:
Analyze large volumes of defect data to identify critical patterns, trends, and anomalies, using this analysis to inform model development. Model Development:
Train, validate, and deploy defect classification models, ensuring they meet strict performance and accuracy requirements. System Optimization:
Continuously improve the accuracy, efficiency, and reliability of the defect classification system through iterative development and optimization. Qualifications
Machine Learning & Data Science:
Extensive experience with data analysis and manipulation using
ML packages ,
pandas ,
numpy , and
scipy . Proven knowledge of machine learning concepts, including regression, statistical evaluation, and modeling, with hands-on experience using libraries like
scikit-learn . Experience summarizing and deriving insights from large volumes of complex data. Proficiency in handling and processing data in
HDF5
format with Python APIs. Containerization & Orchestration:
Strong practical experience with
Docker
for containerizing applications. Experience with
Kubernetes
for orchestrating and managing containerized applications at scale. Logging & Monitoring:
Experience with
ELK stack
applications, including
Elasticsearch ,
Logstash , and
Kibana , for data ingestion, analysis, and visualization.
Nice to Have (Add at least 3-4 nice to haves for this role)
Frontend Development:
Expertise in
React.js
and
Node.js
for building dynamic user interfaces and scalable backend services.
Time-Series Databases & Visualization:
Expertise in
InfluxDB
for time-series data storage and
Grafana
for data visualization and dashboarding.
Pay Range
USD $130,000.00 - USD $180,000.00 /Yr.