Sobre este puesto de Engineer III, Software-Image Processing en Thermo Fisher Scientific
Work Schedule
First Shift (Days)Environmental Conditions
OfficeJob Description
Job Title: Engineer III, TEM SEMI
Location/Division Specific Information
Hyderabad, IN - Analytical Instruments Group, Materials & Structural Analysis Division
About the product: The Thermo Scientific™ Metrios™ is an advanced TEM imaging system designed to automate and optimize imaging workflows. With the Metrios™ AX, we introduced the world's first commercially available Scanning Transmission Electron Microscope (S/TEM) using machine learning for automated, high-quality data collection. Exclusively designed for the semiconductor industry, the Metrios series removes automation barriers, enabling labs to measure critical dimensions of semiconductor devices during development and manufacturing.
How will you make an impact?
We're seeking a Software Engineer to join our TEM Semiconductor value stream, driving the development of innovative 4D-STEM and Image Processing solutions for semiconductor metrology workflows. As a member of a distributed agile Scrum team, you will collaborate closely with teams in the Netherlands and Czech Republic. You'll develop high-performance software primarily in Python, with contributions in C# and Rust, to process, analyze, and visualize large-scale microscopy datasets. The ideal candidate brings experience in scientific computing, numerical methods, and performance optimization, with the ability to leverage CPU and GPU resources for computationally intensive workloads. Experience with TypeScript is a plus for contributing to user-facing applications.
What will you do?
You will be part of the TEM organization within Thermo Fisher Scientific’s Materials and Structural Analysis R&D organization, which is committed to bringing game-changing solutions to our customers to help them achieve success.
You will be based in Hyderabad, IN, and report to the Functional Group Lead.
In this role, you'll collaborate with developers, product owners, architects, and other stakeholders, uniting multi-site teams to deliver reliable and secure software solutions. Your responsibilities include:
Design, develop, test, and maintain robust, scalable, and high-performance software solutions for advanced 4D-STEM applications.
Develop image-processing software and libraries to support advanced microscopy and metrology applications.
Develop scientific and computational software using Python, contributing to data acquisition, processing, analysis, and visualization workflows.
Write and maintain high-quality unit tests, integration tests, and system-level component tests to ensure software reliability and performance.
Participate in code reviews, promoting software quality, maintainability, and adherence to engineering best practices.
Diagnose, troubleshoot, and resolve software defects, performance bottlenecks, and computational challenges.
Apply scientific computing and numerical methods to microscopy and metrology challenges, leveraging CPU and GPU acceleration to process, analyze, and optimize large-scale 4D-STEM data workflows.
Stay current with advancements in scientific computing, high-performance computing, numerical methods, and software engineering practices.
Learn TEM, 4D-STEM, and semiconductor metrology domain knowledge and validate software solutions using experimental and simulated datasets.
How will you get here?
The ideal candidate for this position enjoys working in a multi-disciplinary and multi-cultural environment to address software challenges. If you enjoy the development of software solutions on top of high-performance systems, this is an excellent opportunity. The successful candidate will possess the following combination of education and experience:
Education:
Bachelor’s or master’s degree in computer science, computer engineering, or a related field, with expertise in software development.
Experience:
5 + years of Strong software development experience in Python; experience with C#, Rust is a plus.
Experience developing scientific and computational software in Windows environments.
Knowledge of numerical methods, linear algebra, and scientific computing concepts used in data analysis and computational applications.
Solid understanding of software engineering principles, including object-oriented design, testing, code reviews.
Experience with scientific computing libraries such as NumPy, SciPy, CuPy or similar frameworks.
Experience with image processing and analysis techniques, preferably using libraries such as OpenCV, scikit-image, or similar scientific imaging frameworks.
Experience processing and analyzing large-scale datasets and developing performant computational workflows.
Knowledge of concurrent and parallel programming, including multithreading, multiprocessing, and asynchronous processing.
Experience leveraging CPU and GPU acceleration technologies, including CUDA or equivalent frameworks, for computationally intensive workloads.
Experience writing and maintaining unit tests, integration tests, and system-level tests.
Familiarity with TypeScript and modern web technologies is a plus.