System Engineer, R&D

At Sunlight Group, we are pioneering the future of energy storage for industrial and advanced technology applications, driven by a genuine passion for performance and continuous improvement. We operate with a deep awareness of our environmental impact, fostering a culture of openness and respect in all our interactions. With a strong customer focus, we relentlessly leverage data and insights to develop innovative solutions that empower our clients and enhance our shared ecosystem. Embracing an entrepreneurial spirit, we cultivate an agile and collaborative environment where our people are inspired through open communication, continuous learning, and the opportunity to unlock their full potential. 

Our Vision: Transforming Energy Storage Solutions To Power A Sustainable Tomorrow.

Our Mission: We deliver cutting-edge, high quality energy storage solutions for industrial and advanced technology applications, driving an all-electric future.

We are looking for a System Engineer to join our R&D Smart Energy Systems team. Experience in applied systems engineering, electrical engineering, and system optimization is essential to support the design, integration, and development of energy storage and intelligent system solutions. The position involves hands-on engineering, analytical modeling, and innovative use of AI technologies like neural networks for predictive control and optimization.

Key activities and responsibilities of the role include

• Participate in the design, testing, and integration of hardware and control systems into larger infrastructures
• Ensure designs comply with safety, regulatory, and industry standards
• Prepare technical documentation, including specifications, test plans, and user manuals
• Develop, implement, and validate mathematical and simulation models of electrical and energy storage systems (e.g., batteries, converters, microgrids)
• Use advanced tools such as MATLAB/Simulink and Python to analyze system performance under different scenarios
• Assist in the development and integration of machine learning algorithms into system control for optimization of energy flows in commercial and industrial facility operations
• Apply AI-based optimization techniques to enhance system efficiency, reliability, and lifecycle management
• Explore reinforcement learning and adaptive control approaches for real-time decision-making and self-optimizing systems
• Conduct research into emerging AI/ML techniques for application in energy storage and industrial systems
• Contribute to technical papers, patents, and innovation projects
• Work closely with cross-functional teams (mechanical, software, and manufacturing)

Requirements

• Bachelor’s degree in Electrical Engineering, Electronics Engineering, Systems Engineering, or related field. A Master’s degree will be considered an asset
• A minimum of 4-years of professional experience in system engineering, modelling, or applied AI
• Hands-on experience of energy storage systems, solar energy systems and grid interactive inverters
• Knowledge of power electronics, electrical, electronic systems, neural networks and applied AI technologies
• Working knowledge of MATLAB/Simulink, C/C++, Python and SQL
• Excellent written and verbal knowledge of English

Benefits

To start with, we give you the opportunity to thrive in a restless team and grow your potential in an innovative environment. As per your compensation and rewards package, this is a preview:

💸 Competitive salary package and bonus scheme

👩‍⚕️ Health and life insurance for you and your family

🧘🏻 Employee wellness program & initiatives

📚 Continuous training opportunities

⭐ Clear career paths & a developmental 360° feedback framework

✈️ International mobility opportunities