Siemens EDA is a global technology leader in Electronic Design Automation software.
Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively.
Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design.
About the Role:
We are seeking a talented and innovative R&D Software Engineer to join our team, focusing on the development of machine learning, deep learning, computer vision, scientific computing, computational geometry, signal processing and image processing techniques for computational metrology. This role involves designing, developing, and implementing advanced algorithms and software solutions to enhance the precision and efficiency of metrology processes.
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Key Responsibilities:
Algorithm Development: Design and develop machine learning models and AI algorithms tailored for computational metrology applications.
Data Analysis: Analyze large datasets to extract meaningful insights and improve metrology accuracy.
Software Engineering: Collaborate with cross-functional teams to integrate AI/ML models into production systems.
Research & Innovation: Stay up-to-date with the latest advancements in AI, machine learning, deep learning, and metrology to drive continuous innovation.
Performance Optimization: Improve and optimize models for better performance and accuracy.
Documentation: Document models, experiments, and processes to ensure reproducibility and knowledge sharing.
Working at Siemens Software
Why us?
Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
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