Power the Future with us!

At SolarEdge (NASDAQ: SEDG), we're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide.

Our innovative solutions include solar inverters, battery storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond.

With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. SolarEdge offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work.

Power the future with AI.

At SolarEdge, we’re transforming how the world produces and consumes energy.

Our AI & Algorithms group builds the intelligence behind our products, from predictive analytics and optimization to advanced models and Generative AI.

We are seeking an Algorithm Developer with hands-on experience in machine learning, simulations, and optimization. In this role, you will tackle complex challenges and contribute to cutting-edge solutions in the renewable energy sector.

Responsibilities:

• Develop and optimize algorithms for energy management, anomaly detection and forecasting.
• Collaborate with cross-functional teams to translate scientific models into efficient algorithms and deliver high-quality, production-ready code.
• Conduct performance analysis and refine algorithms to improve accuracy and efficiency.
• Leverage modern data science techniques to analyze large datasets, uncover actionable insights, and support decision-making.
• Document algorithm development workflows and actively contribute to team knowledge sharing.

• MSc/PhD in computer science, electrical engineering, or related field.
• 3+ years of experience in algorithm development (candidates with strong data science or research backgrounds will also be considered).
High proficiency in Python and demonstrated ability to take ideas end-to-end: from mathematical concept prototype
• production-grade solution.
• Hands-on experience with data science frameworks such as scikit-learn, XGBoost, PyTorch, or similar.
• Strong background in statistics and data analysis techniques.
• Entrepreneurial Mindset: Taking ownership of solutions, working independently, and collaborating to bring innovative ideas to the team.

Advantages:

• Experience with time series modeling and analysis.
• Proficiency in one or more of the following domains: NLP, CV, RL, RecSys, Optimization.
• Hands-on experience with Generative AI models and workflows, including techniques such as fine-tuning, prompt engineering, model evaluation, and orchestration tools like LangGraph.