Work Schedule
First Shift (Days)
Environmental Conditions
Office
Job Description
Job Title: Staff Engineer, TEM Semiconductor
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 with expertise in machine learning, computer vision, and image processing to join our TEM Semiconductor value stream, driving the development of innovative S/TEM solutions tailored 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 and maintain backend services using C# and Python, leveraging Docker and Kubernetes to deploy and operate scalable, containerized web service applications in a distributed software environment.
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, secure, and scalable software solutions for advanced S/TEM applications.
Participate in code reviews, promoting software quality, maintainability, and adherence to engineering best practices.
Diagnose, troubleshoot, and resolve software defects, performance bottlenecks, and operational issues.
Contribute to software optimization initiatives, improving system performance, scalability, and maintainability.
Develop, train, evaluate, and integrate machine learning and image-processing models into production software solutions.
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:
Bachelor’s or master’s degree in computer science, computer engineering, or a related field, with expertise in software development.
Solid understanding of software engineering principles, including object-oriented design, design patterns, testing, code reviews, and maintainable software architecture.
Working knowledge of machine learning and deep learning frameworks such as PyTorchs, TensorFlow, or equivalent, with the ability to train, evaluate, and integrate models into software applications.
Familiarity with modern computer vision and image analysis architectures, including segmentation, detection, and foundation models such as FCN, U-Net, Mask R-CNN, YOLO, SAM, or similar neural network approaches.
Proficiency with REST APIs and inter-process communication technologies such as gRPC, XML-RPC, message-based systems, and other IPC mechanisms.
Knowledge of concurrent and parallel programming, including multithreading, asynchronous processing, and performance optimization.
