Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer.
As a Software Integration Engineer, you will develop software integrations connecting laboratory instruments with Thermo Scientific™ Momentum Software, AI-enabled scientific applications, and customer digital workflows. You will play a key role in enabling intelligent laboratory automation by integrating software platforms, laboratory instruments, and AI-driven workflows into scalable customer solutions.
[Key Competencies]
- Customer-focused with strong analytical and problem-solving skills.
- Excellent communication and collaboration across customers and cross-functional teams.
- Self-driven with the ability to manage multiple priorities while delivering high-quality software.
[Key Responsibilities]
- Design, develop, test, and maintain custom Momentum™ SDK drivers for laboratory instrument integration.
- Develop reliable software interfaces between Momentum and third-party laboratory instruments using standard communication protocols and APIs.
- Integrate laboratory instruments into automated workflows while ensuring software quality through validation, testing, and deployment support.
- Translate customer workflow requirements into scalable software integration solutions through close collaboration with customers and cross-functional teams.
- Troubleshoot software, communication, and hardware integration issues during development and customer implementation.
- Develop technical documentation and reusable software components that support standardized integration and long-term maintainability.
- Collaborate with global engineering teams to ensure compliance with Momentum SDK standards and software development best practices.
- Support customer demonstrations, Proof-of-Concept (PoC) activities, and continuous improvement of integration frameworks and engineering standards.
- Integrate AI-enabled scientific applications and software services with laboratory automation workflows to support intelligent laboratory operations.
- Collaborate with AI software engineers to enable seamless interaction between laboratory instruments, workflow platforms, and AI-powered applications.
[Qualifications]
Education
- Bachelor’s degree in computer science, Software Engineering, Computer Engineering, Electrical Engineering, or a related discipline.
Experience
- Minimum 7+ years of software development experience.
- Experience with object-oriented software development, laboratory or industrial system integration, and software platform integration.
- Experience in software validation, testing, and troubleshooting.
[Knowledge, Skills, Abilities]
- Strong programming skills in C# and .NET, Visual Studio, experience integrating software APIs and AI-enabled applications.
- Knowledge of communication protocols including TCP/IP, REST APIs, Serial (RS-232/RS-485), OPC-UA, XML/JSON and software integration architectures supporting laboratory automation and AI workflows.
- Software debugging, unit testing, and version control (Git/Azure DevOps)
- Strong analytical, problem-solving, and debugging skills.
- Excellent communication and collaboration skills with customers and cross-functional teams.
- Business-level Korean and English communication skills.
[Preferred Qualifications]
- Experience with biotechnology, life sciences, laboratory automation, research, or scientific software environments is highly desirable.
- Experience integrating AI-enabled applications or digital laboratory platforms into laboratory automation workflows.
- Experience developing laboratory instrument drivers or device control software.
- Experience with Thermo Scientific™ Momentum, laboratory automation platforms, or scientific instrumentation.
- Knowledge of laboratory automation standards, robotics, and scientific workflows.
- Experience with Git/Azure DevOps, Agile software development, and SDLC practices.
