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.