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.

NextEdge, our leading innovation unit at SolarEdge is aiming to bring new innovative opportunities for scaling renewable energy technologies. While fostering a startup-based innovative environment we enjoy the support of the corporate resources at SolarEdge.

For our multi-disciplinary team, we are looking for an AI Embedded Lead, who is top-notch professional, self-driven, enjoys working with people, brings a Can -Do approach and experience in debugging & problem solving and most of all - keen on making an impact

You will have the opportunity to lead the development of the innovative SoC embedded system for processing multispectral video and running compute-efficient deep learning models.

What will you be doing

• End-to-end responsibility over technology research, design, and definition of the core foundations of the embedded software.
• Work closely with the AI team to implement and optimize both classic computer vision algorithms and deep learning models for efficient low compute on the edge.
• Hands-on implementation and optimization of models for embedded SoC.
• Define the S/W architecture including high and low-level design for challenging new product development.
• Analyze new and existing processing pipelines and develop innovative architecture solutions.
• You will collaborate with multi-disciplinary teams in SolarEdge (HW, DSP, Cloud, Product).

Requirements

• Robust SW engineering skills across multiple languages including C/C++ and Python
• Architect embedded AI systems: Design the architecture and framework for embedding AI capabilities
• 3+ years of experience building embedded software/firmware design and implementation.
• 2+ years of experience with video/image processing.
• Experience in the deployment and optimization of deep learning models to edge devices.
• Experience with machine learning software packages (e.g. scikit-learn, TensorFlow, Keras, PyTorch)
• Profound understanding of multi-CPU system design
• Proven track record of building high-quality production software
• Bachelor's degree in Computer Science, Electrical Engineering, or related field. Master's degree preferred.

​​​​​​​​​​​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.