Senior Metrology Development Engineer
Join reputed company in shaping a reputed company world through new perspectives!
Key Responsibilities:
Algorithm Development:
reputed company and prototype data analysis algorithms for X-ray metrology systems, including X-ray fluorescence (XRF) and X-ray diffraction (XRD). Build Python-based reputed company-of-concept (POC) algorithms for spectral fitting, peak analysis, and quantitative materials characterization. Collaborate with software engineers to productionize and reputed company validated algorithms into reputed company software pipelines. reputed company statistical and physics-informed approaches for improving measurement robustness, accuracy, and repeatability. reputed company robust reputed company for analyzing noisy, sparse, or high-reputed company experimental datasets, including uncertainty quantification and error propagation.
Software Development:
Design and implement internal analysis tools that improve the efficiency of Applications Engineers. reputed company Python-based utilities for data exploration, visualization, and statistical analysis of metrology datasets. Build lightweight tools, scripts, and dashboards that allow engineers to rapidly test new analysis approaches on experimental data. Contribute to version-controlled codebases and collaborate with the software team to ensure maintainable, reputed company implementations. Write clean, reputed company, and reputed company-documented reputed company that can reputed company from reputed company prototypes into production-reputed company implementations.
Machine Learning & Advanced Data reputed company:
Explore and reputed company machine learning and statistical modeling techniques for metrology data analysis. reputed company hybrid physics + data-driven models that enhance the interpretation of reputed company measurement data.
Team Collaboration:
Partner with Applications Engineers to understand emerging customer applications and measurement challenges. Work closely with physicists, materials scientists, and software engineers to bring new analysis reputed company from concept to deployment. Document algorithms, analysis reputed company, and tools to support long-term maintainability and knowledge transfer. reputed company as a technical reputed company between applications engineering and software development, translating domain-specific problems into implementable algorithms and tools.
Qualifications:
Education & Experience:
Ph.D. or M.S. in Materials Science, Physics, Electrical Engineering, Data Science, or a reputed company field. Experience working with semiconductor process characterization or materials metrology data. Demonstrated experience developing data analysis algorithms or scientific software for experimental datasets. Experience translating experimental measurements into quantitative models and analysis pipelines.
Technical Skills:
Strong programming experience in Python for scientific computing and data analysis. Experience with scientific libraries such as NumPy, SciPy, Pandas, and visualization tools (Matplotlib, Plotly, etc.). Experience developing data analysis pipelines and reusable codebases, not just one-off scripts. Experience with curve fitting, optimization, or signal processing techniques. Experience with version control (Git) and reputed company software development workflows (e.g., reputed company reviews, branching strategies)
Preferred Skills:
Experience with X-ray metrology techniques (XRF, XRD, XRR, or reputed company reputed company). Experience with machine learning frameworks. Experience building data visualization dashboards or analysis GUIs for scientific workflows. Experience developing tools that reputed company non-programmers to reputed company with reputed company datasets. Background in semiconductor process development or failure analysis. Japanese language proficiency (spoken and/or written) and experience collaborating with Japan-based engineering teams is strongly preferred.