Algorithm Development Intern

Key Skills

Analytical and Problem solving, English Proficiency, MATLAB Programming, Microsoft Office suites, Microsoft-Excel, Python Programming, R Programming

Job Description

Come join us in accelerating the energy transition to cleaner, more sustainable sources of power!

Basic Function

As a part of the Engineering team, the Intern will help create and deploy the optimization models and power flow algorithms for renewable energy assets.

Responsibilities:

• Initiate, create, test, deploy, and debug the optimization algorithms for optimal dispatch of the assets mainly solar, storage, and loads
• Collaborate closely with the group of software engineers and product managers
• Collaborate with stakeholders to act as a primary contributor for algorithm development.
• Collaborate with the engineering and innovating team in the high-level design of data models, and software systems.

Qualifications/Requirements:

• Currently in a Bachelor’s, Master’s, or PhD program with an emphasis in Electrical, or Mechanical Engineering, Chemistry, Computer Science, Geography, Environmental Science, or Mathematics/Physics required.
• Experience in mathematical optimization algorithms (linear and non-linear) – experience in energy models is a plus.
• Experience developing energy management solutions using model predictive controls.
• Experience in programming is a plus.
• Familiar with the US Energy Sector, energy storage revenue streams, and generation optimal dispatch.
• Familiar with Electric power industry domain experience with demonstrated understanding of renewable energy, power systems, wholesale power markets, and Smart Grid technologies.
• Knowledge of energy system asset management preferred.
• Familiar with machine learning algorithms for energy and price forecasting.
• Ability to understand and model value streams, incentives and constraints applicable to front-of-the-meter and behind-the-meter battery storage systems operations.
• Experience with data analysis and presentation, preferably in Python, R, MATLAB, or other programming environment.
• Proficiency in Microsoft Excel, Outlook, PowerPoint, and Word.
• Strong written and verbal English language communication skills.
• Strong problem-solving and critical thinking skills.
• Educational focus on Renewable Energy and/or Energy Storage is preferred.
• Hands-on experience with photovoltaic modules, power electronics, or Li-ion and flow battery systems is preferred.
• The ability to potentially lift items as heavy as 30lbs.
• Familiar with control methodology for battery system including communication with inverters, DC-DC converters, and relays.
• Excellent debugging and troubleshooting skills to solve challenging problems.
• Strong fundamental knowledge of BMS and EMS functionality and key metrics of battery systems.
• Firmware design experience is a plus.
• Experienced with communication protocols such as MODBUS TCP/IP.
• Familiarity with optimization models and forecasting methods (ANL) are preferred.

Travel Requirements

• The position requires up to 25% domestic travel and up to 50% onsite presence at pilot projects at SolarTAC in Denver, CO.