Job 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!


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:


? Bachelor's or master's degree in

E

lectrical

E

ngineering

,

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

.