Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
Thermo Fisher Scientific's Ion Chromatography and Sample Preparation (ICSP) team is seeking a Manager or Senior Manager of R&D Software and Firmware Engineering to lead a newly established, multidisciplinary team focused on embedded software and firmware for next-generation ion chromatography laboratory instruments.
This role is part of a strategic NPI (New Product Introduction) initiative focused on developing a new generation platform for chromatographic instruments. This is not about maintaining or incrementally improving existing solutions, but a complete redesign of a system currently built on approximately 15-year-old electronics.
The goal is to create a modern, scalable platform by leveraging new technologies to significantly improve performance, functionality, and overall system architecture. The work involves developing electronics and software for high-precision analytical instruments, combining advanced hardware, reliability, and complex system integration.
This is a multi-year program, offering long-term stability and the opportunity to contribute across multiple phases of development—from early architecture through to commercialization.
What will you do?
You will build and lead a multidisciplinary R&D engineering team of approximately 12 engineers (firmware, embedded software, DevOps, and test), establishing a strong foundation for scalable and high-quality product development.
Team Leadership & Development
- Hire, lead, coach, and develop a high-performing engineering team, fostering a culture of ownership, collaboration, and continuous improvement
- Drive performance management, career development, and succession planning
Engineering Excellence & SDLC
- Define and implement a scalable, modern software development lifecycle (SDLC) including architecture governance, coding standards, automated testing, CI/CD, traceability, and release management
- Establish and track key quality metrics and drive continuous improvement
Product Development & Delivery
- Lead development of embedded software, firmware, and supporting systems for next-generation ion chromatography instruments
- Oversee delivery across exploratory, new product development, and sustaining engineering initiatives aligned with business priorities
Cross-Functional & Global Collaboration
- Partner with system architects, product management, hardware engineering, manufacturing, and global R&D teams to ensure seamless integration and delivery
- Coordinate work across distributed teams to ensure alignment, transparency, and predictable execution
Compliance, Security & DevOps Strategy
- Ensure compliance with regulatory and cybersecurity requirements, embedding secure development practices and traceability by design
- Own DevOps and toolchain strategy, aligning with divisional and corporate standards
Innovation & Productivity
- Drive adoption of modern engineering tools, including AI-assisted development, to improve speed, quality, and knowledge sharing
- Balance innovation, technical debt, and sustaining activities through effective roadmap and resource planning
Qualifications & Skills
- Degree in Computer Science or a related field (or equivalent experience); MS preferred
- Proven experience leading and scaling R&D engineering teams, including hiring and performance management
- Experience delivering complex embedded or instrumentation systems from concept through commercialization
- Strong background in embedded Linux, firmware, and/or distributed systems (C, C++, C#, .NET)
- Experience with device control, data acquisition, and communication protocols (TCP/IP, USB, I2C, SPI, RS232)
- Solid understanding of CI/CD, automated testing, and DevOps in embedded environments
- Hands-on experience with modern development toolchains and lifecycle systems (e.g., Git, Azure DevOps, Jira, Jenkins, Yocto, GCC, containers, Jama, DOORS, Polarion)
- Experience in regulated or quality-driven environments, including secure development and product cybersecurity practices
- Experience in industrial, scientific, medical, or safety-critical systems strongly preferred
- Strong communication and stakeholder management skills, with the ability to operate across distributed teams
- Analytical, data-driven mindset with strong problem-solving and decision-making skills
- Interest in leveraging AI-assisted development tools to improve engineering productivity and quality