Energy Optimization Engineering Intern
Redwood MaterialsSan Francisco, California
Full Time
Posted February 18, 2026
$41 - $55
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Application opens on company website
Job Description
The Energy Optimization Engineering Intern supports the development and testing of predictive models and optimization strategies for energy management systems in microgrids and data centers, gaining hands-on experience in energy forecasting, mathematical modeling, and cloud integration within a renewable energy-focused company.
Key Responsibilities
- Develop and validate time-series forecasting models for GPU power loads and market prices
- Integrate forecasts into Energy Management Systems (EMS) for autonomous decision-making
- Create high-fidelity mathematical models of Battery Energy Storage Systems (BESS) and microgrid components
- Apply optimization techniques such as Mixed-Integer Programming to resource allocation and scheduling
- Conduct EMS simulations and scenario testing to evaluate strategy performance
- Collaborate with cloud software teams to deploy optimization engines and predictive models in cloud environments
- Design and maintain APIs for real-time control signals and data exchange between cloud and site assets
Requirements
- MS or PhD in Energy Engineering, Electrical Engineering, Operations Research, Applied Mathematics or a related field
- Strong background in optimization techniques including mixed-integer, stochastic, robust, and convex optimization with applications to SCUC, SCED, or other electricity market problems
- Experience applying time series data forecasting to energy systems
- Excellent understanding of first-principles physics related to electrical and mechanical systems, power delivery, energy storage and transformation, and basic thermal mechanics
- Ability to support development of the predictive intelligence layer used to manage energy for AI Data Centers and microgrids
- Ability to build and validate time-series forecasting models for GPU power loads and market prices
- Experience integrating multi-horizon forecasts into Energy Management Systems (EMS) to drive autonomous decision-making
- Develop high-fidelity mathematical models of Battery Energy Storage Systems (BESS) and microgrid components
- Utilize Mixed-Integer Programming (MIP) and other mathematical optimization techniques to solve complex resource allocation and scheduling problems
- Conduct large-scale EMS simulations and scenario testing to validate strategy performance and stability under varying grid conditions
- Work closely with cloud software engineers to deploy optimization engines and predictive models into scalable cloud architectures
- Design and maintain high-performance APIs for real-time control signals and data exchange between cloud and site-level assets
- Ability to perform essential job functions in compliance with ADA, FMLA, and other relevant federal, state, and local regulations
- Ability to maintain regular and punctual attendance in line with ADA, FMLA, and applicable standards
- Ability to work in challenging working conditions which may include exposure to noise, dust, chemicals, and temperature extremes, while protected by PPE
- Possess essential physical capabilities such as climbing, standing, stooping, or typing
Benefits & Perks
Compensation/salary range: $41 to $54.50 USD per hour
Full-time position
Work environment includes office or outdoor settings with exposure to noise, dust, chemicals, and temperature extremes, protected by PPE
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