R&D Software Engineer(Computational Metrology)

ilities:

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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