דרושים Senior Python Developer ב-Solaredge

The Integration Engineer will develop, perform and analyze System Validation tests and will take part in the system review processes, with an understanding of the market requirement, system design, and the end user’s expectations.

What will you be doing?

• E2E responsibilities for SolarEdge system, and product validation and experiments.
• Plan and execute HW & SW system integration tests.
• Understand and study the System operation edges, and system design edges.
• Plan and design manual and script automation tests of SolarEdge Product

By joining us, you’ll have the chance to develop unique products from concept level to mass production, while working with advanced simulation and developing tools.

What you will be doing:

• Learning the different aspects of our products by developing features in various areas and disciplines - power electronics, control theory, DSP and communication over different platforms.
• Developing on various micro-controllers and dealing with various RT constraints.
• Ownership of a project\product from end to end- from concept and simulation, through development and integration and field deployment.
• Building complex simulations integrating SW and HW.

What you will be doing:

• Manage the day-to-day operations of the company’s security infrastructure systems.
• Will lead the implementation of IT/OT cyber security systems in the organization.
• Provide security guidelines to various projects and systems.
• Research new innovative technologies to mitigate security gaps and work to implement in the production

By joining us, you’ll have the chance to be involved from early stages of architecture & design planning, through development and testing phases up to integration within SolarEdge hardware products, infrastructures, and field deployment

What you'll be doing in this position:

• Design, develop, test and maintain code for modern embedded Linux based IOT devices, both in low level and system level development.
• Participate in architectural decisions and offer technical leadership to the development team.
• Lead projects end-to-end, including task planning, prioritization, and coordination across multiple developers and teams, reporting progress directly to the team leader.
• Conduct code reviews and mentor junior developers to ensure adherence to best practices and coding standards.
• Debug and troubleshoot software issues
• Work with adjacent teams such as software, integration, system, support and hardware.

Our diverse product offering comprises intelligent solar inverters, battery storage, backup systems, EV charging, and complete home energy management ecosystems.

What you will be doing:

• Learning the different aspects of our products by developing features in various areas and disciplines - power electronics, control theory, DSP and communication over different platform.
• Develop complex and exciting systems in a multi processors environment.
• Developing on various micro-controllers and dealing with various RT constraints.
• Ownership of a project\product from end to end- from concept and simulation, through development and integration and field deployment.
• Building complex simulations integrating SW and HW.

We are looking for a Senior Algorithm Developer with experience in developing and machine-learning models, simulations and optimization algorithms. Your role will focus on optimal energy management, forecasting, anomaly detection, and reliability. High proficiency in Python and scientific 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.