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Algorithm Development Intern

SB Energy
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About SoftBank Energy 

 Do you want to work with high caliber professionals in a dynamic and growing company? Are you entrepreneurial, hard-working, and collegial? Are you committed to advancing the clean energy revolution? Join us at SB Energy, a world-leading company backed by SoftBank and Ares pairing cutting-edge innovation with best-in-class execution. Our Mission is to provide flexible renewable energy at scale, accelerating the global energy transition and benefiting our planet, customers, communities, and people. 

SB Energy develops, constructs, and owns & operates some of the largest and most technically advanced renewable projects across the United States, with Headquarters in Redwood City, CA. The company was formed in 2015 as a subsidiary of Japanese multinational conglomerate SoftBank Group Corp. SB Energy launched its United States platform in 2019 and has quickly become one of the largest solar and storage developer/IPPs in the U.S. With almost 1.7 gigawatts (GW) of renewable energy projects in operation and a multi-GW pipeline, SB Energy is building the renewable energy future – today. SB Energy also utilizes its strong culture of innovation to identify and incorporate new technology into our projects, including our AI-based digital platform, to deliver renewable energy that is local, reliable, and matched to load. 

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 the renewable energy assets.   
 
Duties and 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 a group of software engineers and product managers  
  • Collaborate with stakeholders to act as 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: 
  • Degree (Bachelors, Masters or Ph.D) in Computer Science, Physics, Electrical or Mechanical Engineering, Statistics, Operational Research or a related field 
  • 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 
  • 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 
  • 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 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 preferred 
  • Hands on experience with photovoltaic modules, power electronics, or Li-ion and flow battery systems preferred 
  • The ability to potentially lift items as heavy as 30lbs. 
  • Familiar with control methodology for battery system including communication with inverter, 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