Software Instrumentation Engineer

About Abb Vie

Abb Vie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience – and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us at  Follow @abbvie on Linked In, Facebook, Instagram, X and You Tube.

Join the Madison Peptide Therapeutics (MPT) Engineering team as an Instrumentation Software Engineer and help shape the future of cutting‑edge peptide array synthesis technology. In this role, you'll work alongside talented engineers and scientists to maintain, enhance, and innovate across our fleet of advanced synthesizers in a fast‑paced biotech research environment.

This is an exciting opportunity for a software engineer who enjoys solving complex technical challenges at the intersection of software, hardware, and science. You'll bring your expertise in Windows C# and/or Linux C++ development to design and improve software that interfaces with instrumentation hardware such as sensors, actuators, pumps, motors, cameras, and other electronic devices. Your work will directly support the operation, performance, and data visibility of internally developed laboratory equipment.

You'll also contribute to workflow software that enables operators to efficiently set up and run instruments, as well as tools that support the quality system. Working in a collaborative Agile team, you'll help deliver high‑quality solutions that increase throughput, reduce cost, and improve product quality, making a meaningful impact on both the team and the science.

• Design, develop, test, troubleshoot, and maintain Windows and/or Linux software solutions that enhance internally developed peptide array synthesizers.
• Apply expertise across software design, programming languages, machine control, data integration, and data analysis/visualization tools.
• Perform software testing and validation to ensure quality, reliability, and performance.
• Support deployment, configuration, and troubleshooting of software applications in a biotech manufacturing environment.
• Follow team development practices, including version control, coding standards, code review, and documentation.
• Design and conduct experiments, engineering studies, or models to characterize system behavior and inform design decisions.
• Collaborate with cross‑functional partners, including scientists, electrical and mechanical engineers, operations managers, and IT staff, to gather requirements and deliver effective solutions.
• Communicate effectively with engineering leadership and peers through verbal and written updates.
• Adhere to corporate and divisional standards, including code of conduct, safety, GxP compliance, data security, and software development lifecycle requirements.

• Bachelor's Degree or equivalent education with 5 years of experience, or Master's Degree or equivalent education with two years of experience.
• Proficiency in either:
  • C#, .NET, and Windows Forms desktop application development in Visual Studio, or
  • C++ development in a Linux environment.
• 1+ year(s) of experience developing software for laboratory, scientific, or medical instrumentation.
• Understanding of software architecture and core technical concepts, including:
  • Service‑oriented architecture
  • Multithreading, semaphores, and mutual exclusion
  • XML and JSON messaging
  • Familiarity with software development methodologies and a commitment to Agile practices.

• Experience with electronics and embedded systems
• Experience interfacing with devices via RS232, RS485, or TCP/IP.
• Experience integrating with Tecan, Hamilton, or similar liquid handling robots.
• Proficiency in Python or Java.
• Experience with AI‑assisted software development and/or machine learning.
• Experience with Git and Git Hub for source code management.
• Experience with one or more database types, including relational, graph, or time‑series databases.

• The…