Staff Engineer, Software

Work Schedule

Environmental Conditions

Job Description

Job Title:StaffEngineer, TEM Semiconductor

Location/Division Specific Information

Hyderabad,IN -Analytical Instruments Group, Materials & Structural Analysis Division

About the product: TheThermoScientific™Metrios™ is an advanced TEM imaging system designed to automate andoptimizeimaging workflows. With theMetrios™ 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, theMetriosseries removes automation barriers, enabling labs to measure critical dimensions of semiconductor devices during development and manufacturing.

How will you make an impact?

We'reseeking a Software Engineer withexpertisein machine learning, computer vision, and image processing to join our TEM Semiconductor value stream, driving the development of innovative S/TEM solutionstailored 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'lldevelop andmaintainbackend services using C# and Python,leveragingDocker and Kubernetes to deploy andoperatescalable, containerized web service applications in a distributed software environment.

What will you do?

You will be part of the TEM organization withinThermoFisher 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 inHyderabad,IN,and report to the FunctionalGroupLead.

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, andmaintainrobust, secure, and scalable software solutions for advanced S/TEM applications.

  
  

• Develop backend services using Python, contributing to cloud-native, microservices-based architectures deployed on Docker and Kubernetes.

  
  

• Write andmaintainhigh-quality unit tests, integration tests, and system-levelcomponenttests 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 operational issues.

  
  

• Collaborate with DevOps engineers to automate deployment, monitoring, and maintenance of applications and services.

  
  

• Contribute tosoftware optimization initiatives, improving system performance, scalability, and maintainability.

  
  

• Collaborate with application engineers and domain experts to collect, curate, and annotate image datasets for machine learning and computer vision applications.

  
  

• Develop, train, evaluate, and integrate machine learning and image-processing models into production software solutions.

  
  

• Partner with AI research teams to evaluate, adopt, and operationalize emerging machine learning technologies and models.

  
  

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 willpossessthe following combination of education and experience: 

Education:

• Bachelor’s or master’sdegree in computer science, computer engineering, or a related field, withexpertisein software development.
  

  
  

Experience:

• 8+ years ofStrong software development experience in Python;experience withC# andC++ is a plus.

  
  

• 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 asPyTorchs, TensorFlow, or equivalent, with the ability to train, evaluate, and integrate models into software applications.

  
  

• Experience developing backend services, APIs, and distributed applications in Linux environments.

  
  

• 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.

  
  

• Experience applying AI-assisted development tools to improve productivity, code quality, and delivery speed.

  
  

• Proficiencywith REST APIs and inter-process communication technologies such asgRPC, XML-RPC, message-based systems, and other IPC mechanisms.

  
  

• Experience designing, implementing, and deploying microservices in containerized environments using Docker and Kubernetes.

  
  

• Experience working with relational databases and SQL for application development and data management.

  
  

• Knowledge of concurrent and parallel programming, including multithreading, asynchronous processing, and performance optimization.

  
  

• Experience writing andmaintainingunit tests, integration tests, and system-level tests as part of a modern CI/CD development workflow.