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Modeling and Architecture Engineer, Energy Storage

Redwood Materials
San Francisco, California
Full Time
Posted December 23, 2025
$128k - $248k
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Job Description

The Modeling and Architecture Engineer in Energy Storage at Redwood Materials leads the design, development, and integration of advanced modeling platforms for second-life battery systems, driving system optimization, operational algorithms, and product architecture decisions in a fast-paced, innovative environment.

Key Responsibilities

  • Lead the design, development, and integration of Redwood Energy's second-life battery product modeling platform.
  • Develop and maintain multiphysics and technoeconomic models to inform system design and project sizing.
  • Operationalize modeling insights into algorithms that optimize battery pack usage and determine operational parameters.
  • Provide technical leadership for performance and technoeconomic modeling, including setting the modeling roadmap and selecting tools.
  • Use models to support product architecture decisions and site-specific deployment strategies.
  • Conduct architectural studies to evaluate cost and performance tradeoffs.
  • Create algorithms for battery operational windows and pack replacement strategies.
  • Perform component-level sensitivity analyses to optimize cost and performance tradeoffs.
  • Validate models through test plans and analyze results to quantify uncertainty.
  • Communicate modeling findings to inform architecture and performance improvements.

Requirements

  • BS or MS in Mechanical Science, Electrical Engineering, or a related field
  • 8 years of model development or system engineering experience
  • Excellent first-principles physics understanding of electrical and mechanical systems, power delivery, energy storage and transformation, and basic thermal mechanics
  • Experience with hybrid or electric powertrain model development, PV model development, and data analysis in Python or MATLAB Simulink
  • Experience with models which have multiple contributors collaborating together
  • Familiarity with basic controls techniques, such as filters and PID loops
  • Experience with system optimization tools
  • Strong communication and collaboration skills

Benefits & Perks

Compensation/salary range: $127,500 - $248,000 USD
Full-time position
Compensation will be commensurate with experience

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