We are currently looking for people to join our quickly growing team. Our main office is in Lafayette, CO (outside of Boulder).

We consider candidates who are just graduating from school as well as those that are already in the workforce. Applicants that demonstrate a high likelihood of success with Entergrid LLC will be invited to participate in our interview process, which includes a phone screen, a live coding quiz (language of your choice), written answers to short questions and a round of in-office interviews. Interaction with applicants is done solely by Entergrid LLC employees (we don’t use recruiters).

If you would like to apply then you can see our job postings on Linkedin and apply there. Alternatively, you can also send your resume, and a cover letter to info@entergrid.com. Please note that at this time, we are only accepting applications from people legally authorized to work in the United States (OPT and H1B visa are OK).

All of our positions are for in-office work in the Lafayette, Colorado office, which is close to Denver and Boulder. We have a vaccine mandate for being in the office.

Our current open positions:

Power Systems Software Engineer

With this position we are looking for a candidate that knows both power systems and has strong software development skills.  The Power Systems Software Engineer would join our team and contribute to the development of trading strategies.  We use Optimal Power Flow (OPF) models and statistical methods that predict electricity market prices to trade.  Hence experience with OPF models or electricity market simulation tools (DAYZER, Powerworld, etc) is strongly desired.  It can be augmented with a deep academic understanding of power flow and power economics.  

As we all know, the biggest part of algorithm development is the collection, classification and management of data and configuration in a repeatable way.  Hence, in addition to knowledge of power systems, the ideal candidate must be proficient in Python with a deep knowledge of IT systems and Linux.  Experience with various python-based data science tools (eg: pandas) is required.