Description
Enphase Energy is a global energy technology company and a leading provider of solar battery and electric vehicle charging products. Founded in 2006 our innovative microinverter technology revolutionized solar power making it a safer more reliable and scalable energy source. Today the Enphase Energy System enables users to make use save and sell their own power. Enphase is also one of the most successful and innovative clean energy companies in the world with more than 80 million products shipped across 160 countries.
Join our dynamic teams designing and developing next-gen energy technologies and help drive a sustainable future!
Are you passionate about combining power electronics with programming This role offers a unique opportunity to apply strong fundamentals in converter and magnetics modeling while building high-performance simulation and optimization tools that drive next-generation power conversion design.
As a Senior Power Electronics Engineeryoulldevelop and refine Python/NumPy-based frameworks for predicting converter efficiency usingstate-of-the-artloss models. Your work will span FEM integrations matrix-based winding loss models dimensional-aware core loss algorithms and nanosecond-level DLL-based switching loss models.Youllalsoleveragethese tools for parametric optimizationshaping custom magnetic cores and windings to achieve breakthrough performance.
This position is part of an advanced R&D team within the CTO Office and reports directly totheSr. Director of Inverter Technology.Youllcollaborate with world-class experts in power electronics and software engineering with high visibility across the organization and strong potential for growth into technical leadership or strategic product roles.
What you will do.
- Develop and enhance Python/NumPy-based simulation frameworks for power converter and magnetics modeling.
- Implement advanced algorithms for core loss prediction (iGSE ML-based models) and winding loss estimation using matrix and Fourier techniques.
- Integrate FEM workflows for magnetic component analysis and automate impedance matrix generation.
- Build parametric models of cores and windings to enable geometry-driven optimization and shape refinement.
- Couple simulation tools with optimization algorithms toidentifyhigh-efficiency designs under real-world constraints.
- Validate models against experimental data and continuously improve predictive accuracy.
- Collaborate with hardware design teams to accelerate development of next-generation power conversion systems.
- Contribute tosoftware architecture decisions code quality standards and documentation for internal modeling frameworks.
Who you are and What you bring.
- Strongproficiencyin Python with experience in scientific computing and optimization using libraries such as NumPy and SciPy.
- Solid understanding of software development best practices including Git version control branching strategies unit testing API design and documentation.
- Ability to write clean maintainable and well-structured code for modeling and simulation workflows.
- Experience coupling simulation frameworks with optimization algorithms for parametric and geometry-driven design.
- Deep knowledge of power electronics fundamentals with hands-on experience in lab measurements and validation.
- Familiarity with magneticcomponentdesign ferrite material properties and core lossmodeling techniques ( ML-based approaches).
- Experience with FEM tools for electromagnetic analysis and integration into design workflows.
- Understanding ofresonant converter topologies and their unique modeling challenges; direct experience is a strong plus.
- Comfortable working in a fast-paced R&D environment with evolving priorities and high technical complexity.
- Bachelors or Masters degree in Electrical Engineering Computer Engineering or a related field; PhD or equivalent experience in power electronics or magnetics modeling is a plus.
The base pay range for this position is $105000 to $162000 per year. This salary range may be modified in the future. The successful candidates starting pay will be determined based on job-related skills experience education or training work location and market conditions. This position is also eligible for bonus equity and benefits.
Required Experience:
Senior IC
DescriptionEnphase Energy is a global energy technology company and a leading provider of solar battery and electric vehicle charging products. Founded in 2006 our innovative microinverter technology revolutionized solar power making it a safer more reliable and scalable energy source. Today the Enp...
Description
Enphase Energy is a global energy technology company and a leading provider of solar battery and electric vehicle charging products. Founded in 2006 our innovative microinverter technology revolutionized solar power making it a safer more reliable and scalable energy source. Today the Enphase Energy System enables users to make use save and sell their own power. Enphase is also one of the most successful and innovative clean energy companies in the world with more than 80 million products shipped across 160 countries.
Join our dynamic teams designing and developing next-gen energy technologies and help drive a sustainable future!
Are you passionate about combining power electronics with programming This role offers a unique opportunity to apply strong fundamentals in converter and magnetics modeling while building high-performance simulation and optimization tools that drive next-generation power conversion design.
As a Senior Power Electronics Engineeryoulldevelop and refine Python/NumPy-based frameworks for predicting converter efficiency usingstate-of-the-artloss models. Your work will span FEM integrations matrix-based winding loss models dimensional-aware core loss algorithms and nanosecond-level DLL-based switching loss models.Youllalsoleveragethese tools for parametric optimizationshaping custom magnetic cores and windings to achieve breakthrough performance.
This position is part of an advanced R&D team within the CTO Office and reports directly totheSr. Director of Inverter Technology.Youllcollaborate with world-class experts in power electronics and software engineering with high visibility across the organization and strong potential for growth into technical leadership or strategic product roles.
What you will do.
- Develop and enhance Python/NumPy-based simulation frameworks for power converter and magnetics modeling.
- Implement advanced algorithms for core loss prediction (iGSE ML-based models) and winding loss estimation using matrix and Fourier techniques.
- Integrate FEM workflows for magnetic component analysis and automate impedance matrix generation.
- Build parametric models of cores and windings to enable geometry-driven optimization and shape refinement.
- Couple simulation tools with optimization algorithms toidentifyhigh-efficiency designs under real-world constraints.
- Validate models against experimental data and continuously improve predictive accuracy.
- Collaborate with hardware design teams to accelerate development of next-generation power conversion systems.
- Contribute tosoftware architecture decisions code quality standards and documentation for internal modeling frameworks.
Who you are and What you bring.
- Strongproficiencyin Python with experience in scientific computing and optimization using libraries such as NumPy and SciPy.
- Solid understanding of software development best practices including Git version control branching strategies unit testing API design and documentation.
- Ability to write clean maintainable and well-structured code for modeling and simulation workflows.
- Experience coupling simulation frameworks with optimization algorithms for parametric and geometry-driven design.
- Deep knowledge of power electronics fundamentals with hands-on experience in lab measurements and validation.
- Familiarity with magneticcomponentdesign ferrite material properties and core lossmodeling techniques ( ML-based approaches).
- Experience with FEM tools for electromagnetic analysis and integration into design workflows.
- Understanding ofresonant converter topologies and their unique modeling challenges; direct experience is a strong plus.
- Comfortable working in a fast-paced R&D environment with evolving priorities and high technical complexity.
- Bachelors or Masters degree in Electrical Engineering Computer Engineering or a related field; PhD or equivalent experience in power electronics or magnetics modeling is a plus.
The base pay range for this position is $105000 to $162000 per year. This salary range may be modified in the future. The successful candidates starting pay will be determined based on job-related skills experience education or training work location and market conditions. This position is also eligible for bonus equity and benefits.
Required Experience:
Senior IC
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