Staff Engineer Simulation, Optimization and AI

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!

About the Role

We are looking for a Staff Engineer with deep expertise in simulation optimization and AI-driven forecasting to lead the development of advanced simulation frameworks and products for Home Energy Management Systems (HEMS). This role is central to our mission of enabling intelligent cost-effective and sustainable energy use in residential homes.

You will design and implement scalable simulation models that integrate photovoltaics (PV) battery storage HVAC heat pumps EVSE and other residential energy assets and couple them with optimization solvers and machine learning-based forecasting algorithms to optimize energy bills of a homeowner. Your work will directly support product innovation cost-benefit analysis and strategic decision-making.

Key Responsibilities:

Architect and implement simulation frameworks that can scale to millions of homes through modelling:

• PV systems battery storage HVAC heat pumps water heaters EVSE and grid interactions.

Ensure scalability modularity and maintainability of simulation tools and its data pipeline.

Conduct what-if analyses to evaluate the impact of different configurations (e.g. adding a second battery or changing tariff structures) on home-owner bill.

Collaborate with product managers data scientists and software engineers to translate simulation insights into product features.

Contribute to technical strategy mentor junior engineers and lead cross-functional initiatives.

Documentation and recording of results

Key Qualifications:

Bachelors or masters degree in Electrical Engineering Mechanical Engineering Energy Systems Computer Science or a related field.

7 years of experience in energy systems modeling simulation or optimization.

Strong experience with:

• Modeling of residential energy devices (PV battery HVAC EVSE etc.)
• Hands on experience of modelling simulation tools for home energy management
• Formulating and solving Mixed Integer Linear Programming (MILP) problems.

• Proficiency in Python and relevant libraries (e.g. Pyomo Pandas NumPy Scikit-learn).
• Experience with simulation tools such as Energy Plus or any other open-source tools
• Proven ability to design and deliver scalable production-grade software.