Software Integration Engineer Laboratory Automation

**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.