Algorithm Developer

Description

Power the Future with us!

SolarEdge (NASDAQ: SEDG), is a global leader in high-performance smart energy technology, with over 5000 employees, offices in 34 countries, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery storage, backup systems, EV charging, and complete home energy management ecosystems.

By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive.

SolarEdge recognizes its talented and diverse workforce as a key competitive advantage. Our business success is a reflection of the quality and skill of our people. SolarEdge is committed to seeking out and retaining the finest human talent to ensure top business growth and performance. 

We are looking for an algorithm developer with experience developing and optimizing data-driven and physics-informed algorithms. Your role will focus on optimal energy management, forecasting, anomaly detection, and reliability. Proficiency in Python and Data Science frameworks is required, along with experience in optimization algorithms and high-performance computing. Join us to contribute to cutting-edge technology in the renewable energy sector.

Responsibilities:

• Develop and optimize algorithms for optimal solar energy management, anomaly detection and automation.
• Collaborate with cross-functional teams to translate scientific models into efficient computational algorithms, writing high quality production ready code.
• Conduct performance analysis and refine algorithms to improve accuracy and efficiency.
• Utilize modern data analysis and AI tools to process large datasets, extract meaningful insights, and support decision-making.
• Document algorithm development processes and contribute to internal knowledge sharing.

Requirements

• MSc/PhD in a scientific field, preferably with a background in Electrical Engineering or Physics.
• 4+ years of experience in algorithm development, particularly in energy systems or related fields.
• Entrepreneurial mindset: taking ownership of solutions, working independently, and collaborating to bring innovative ideas to the team.
• Strong programming skills in Python, with experience in Data Science frameworks such us: SciPy, Pandas, scikit-learn, XGBoost, PyTorch.
• Proven experience with statistical inference and discrete optimization algorithms.
• Experience with time-series prediction and anomaly detection algorithms.
• Experience with high-performance computing and simulation frameworks.
• A background in the renewable energy industry - advantage.