Software Engineer II
Listed on 2026-08-13
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Software Development
AI Engineer (Applied/Software), Software Engineer, Machine Learning/ ML Engineer, Software Testing
Nordson Industrial Coating Solutions, a global leader in Industrial Coating Solutions, is seeking an experienced and highly motivated individual to join our team. We are committed to creating a diverse and inclusive workplace, and we are looking for candidates who share that same commitment.
Summary of the roleAs a member of our team, you will have the opportunity to work in a dynamic and collaborative environment, where your ideas and contributions will be valued and respected.
Software Engineer II designs, develops, tests, and documents software for embedded systems and industrial controllers. This role supports industrial network communications, real-time operating systems, product performance, and system functionality. The position also contributes to the evaluation and implementation of artificial intelligence and machine learning technologies that improve industrial automation, diagnostics, predictive maintenance, and operational efficiency.
EssentialJob Duties and Responsibilities
- Design, develop, test, and maintain software applications for embedded systems and industrial controllers.
- Participate in product architecture, design reviews, and technical discussions throughout the development lifecycle.
- Support hardware integration, product testing, verification, and validation activities.
- Troubleshoot software and system issues during development, launch, installation, and field support.
- Create and maintain software specifications, technical documentation, and build procedures.
- Evaluate and implement software technologies, including AI/ML and data-driven solutions, to improve product functionality, diagnostics, and operational performance.
- Collaborate with cross-functional teams to support product innovation and continuous improvement.
- Perform other duties as assigned.
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field required.
- 6–10 years of embedded software development experience in an industrial or regulated environment.
- Demonstrated experience owning complex software components or subsystems.
The ideal candidate is a detail-oriented, self-motivated software engineer with strong analytical, communication, and organizational skills. This individual can manage multiple priorities, collaborate across teams, and work independently in a dynamic environment. Candidates should demonstrate sound engineering judgment, strong problem-solving skills, and a continuous learning mindset.
Required- Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field.
- Minimum of 2 years of software development experience using C/C++.
- Experience developing software for embedded systems or real-time operating systems.
- Experience with Linux-based operating systems.
- Strong understanding of the software development lifecycle, including debugging, testing, and version control.
- Experience working in collaborative development environments using Git, code reviews, automated testing, and continuous integration practices.
- Experience with machine learning, data analytics, or artificial intelligence applications.
- Experience implementing, integrating, or deploying AI/ML models or services within software applications.
- Experience developing software using Python.
- Experience with AI/ML frameworks such as Tensor Flow, PyTorch, scikit-learn, or ONNX.
- Familiarity with AI-assisted software development tools such as Git Hub Copilot, Microsoft Copilot, or similar technologies.
- Experience applying AI/ML techniques to industrial automation, diagnostics, predictive maintenance, anomaly detection, or process optimization.
- Ability to identify practical AI/ML solutions that improve product functionality, engineering productivity, system reliability, or customer outcomes.
- Knowledge of software engineering best practices for AI-enabled applications, including model evaluation, validation, monitoring, security, and responsible AI use.
- Ability to analyze complex data and apply data-driven problem-solving techniques.
- Interest in emerging AI, automation, and software development technologies.
- Excellent written…
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