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Software Integration Engineer, Laboratory Automation

Thermo Fisher Scientific -
서울 밤고개로1길

지금 지원하기

채용공고 세부정보

정규직
1일 전

상세 직무 내용

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.

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