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Energy Optimization Internship - Summer 2024

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SPAN

Jan 16, 2024

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Data
    Software Engineering
  • San Francisco

Requirements

  • We are seeking an Optimization Engineer who has:
  • Pursuing a bachelor’s degree or higher in engineering, applied mathematics, or a closely related field
  • Experience with Python libraries for numerical methods and timeseries data (NumPy, Pandas, SciPy)
  • Some experience in Linear Programming, Mixed Integer Programming, and/or Convex Optimization experience with collaborative coding and ability to write clean, maintainable, and well documented code
  • Strong communication and interpersonal skills
  • Ability to understand and explain complex problems simply and effectively
  • Bonus Qualifications:
  • We would love to hire someone who has:
  • Experience with optimization modeling packages such as PYOMO, CVXPY, or solver APIs (e.g. Gurobi, Cplex)
  • Domain-specific knowledge either through previous work, courses in college, or side projects
  • Experience working with SQL and data visualization tools

Responsibilities

  • Develop optimization and control algorithms from the ground up which includes:
  • Collaborate with modeling and controls engineers to understand requirements and market rules (e.g. electricity tariffs)
  • Translate requirements into energy scheduling and dispatch optimization models and define objectives for different use cases (e.g. peak shaving, cost minimization)
  • Contribute to the development and maintenance of our simulation codebase for evaluating algorithm performance
  • Conduct batch simulation experiments to tune models and parameters for maximum performance
  • Collaborate with Data Scientists on requirements for inputs to the optimization (e.g. scenario selection, time series forecasting)
  • Integrate developed algorithms in our production code base with robust test coverage
  • Write Python code to manipulate and analyze timeseries data

Enabling electrification for all ⚡

Energy
Industry
201-500
Employees
2018
Founded Year

Mission & Purpose

Enabling electrification for all ⚡