Software Instrumentation Engineer

Responsibilities

• 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.
• Required Qualifications:
• Bachelor's Degree with 5 years of experience, or Master's Degree with two years of experience. A degree in Electrical Engineering is preferred.
• Proficiency in either:
• C#, .NET, and Windows Forms desktop application development in Visual Studio, or
• C++ development in a Linux environment.
• 1+ years 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.

Requirements

• 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 GitHub for source code management.
• Experience with one or more database types, including relational, graph, or time-series databases.
• Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
• This job is eligible to participate in our short-term incentive programs.
• AbbVie is an equal opportunity employer and is committed to operating with integrity, dr

Benefits

Additional Information

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.

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