10 часов назад
Software Engineer II (Embedded Systems)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer II (Embedded Systems): Designing, developing, testing, and maintaining software for embedded systems and industrial controllers with an accent on industrial network communications, real-time operating systems, and product performance. Focus on integrating hardware, troubleshooting field issues, and evaluating AI/ML solutions for industrial automation, diagnostics, predictive maintenance, and operational efficiency.
Location: Amherst, Ohio, United States
Company
Nordson Industrial Coating Solutions manufactures equipment for powder coatings, liquid paint, adhesives, sealants, and food and beverage container production.
What you will do
- Design, develop, test, and maintain software for embedded systems and industrial controllers.
- Contribute to product architecture, design reviews, technical discussions, and software documentation.
- Support hardware integration, product testing, verification, and validation.
- Troubleshoot software and system issues during development, product launches, installation, and field support.
- Evaluate and implement AI/ML and data-driven solutions for diagnostics, predictive maintenance, automation, and operational performance.
- Collaborate with cross-functional teams on product innovation and continuous improvement.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field.
- 6–10 years of embedded software development experience in an industrial or regulated environment.
- At least 2 years of software development experience using C/C++.
- Experience with embedded systems or real-time operating systems and Linux-based operating systems.
- Knowledge of software development lifecycle practices, including debugging, testing, version control, Git, code reviews, automated testing, and continuous integration.
- Strong analytical, communication, problem-solving, organizational, and prioritization skills.
Nice to have
- Experience with machine learning, data analytics, or artificial intelligence applications.
- Experience implementing, integrating, or deploying AI/ML models or services.
- Experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, or ONNX.
- Experience applying AI/ML to industrial automation, diagnostics, predictive maintenance, anomaly detection, or process optimization.
- Familiarity with AI-assisted development tools such as GitHub Copilot or Microsoft Copilot.
Culture & Benefits
- Collaborative and inclusive work environment.
- Support for continuous learning and skill development.
- Opportunities to contribute to industrial innovation and improve manufacturing processes.
- Minimal travel is required, approximately 10%.
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