Sr. System Modeling Engineer, Energy Storage San Francisco, California, United States

Redwood Materials Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 115,000 - 230,000; Full time

Job summary

Redwood Materials seeks a Sr. System Modeling Engineer for energy storage to lead multiphysics modeling and accelerate system design decisions. You will develop robust models, enable cross‑functional collaboration, and adapt to a fast-paced startup atmosphere.

You will help build an in-house performance and technoeconomic modeling platform, parallelizing workflows in the cloud and guiding design choices across architecture and deployment contexts.

Qualifications

• MS or PhD in Mechanical Science, Electrical Engineering, or a related field.
• Excellent first-principles physics understanding of electrical and mechanical systems.
• Experience collaborating in software projects with multiple contributors.
• Hybrid or electric powertrain model development, PV model development, or data analysis in Python or MATLAB/Simulink.
• Familiarity with basic control techniques, such as filters, PID controllers, and system identification.
• Experience with optimization techniques.
• Demonstrated ability to write clear and testable engineering requirements.
• Strong communication and collaboration skills.

Responsibilities

• Contribute to Redwood Materials’ in-house performance and technoeconomic model.
• Drive architectural studies to explore the cost and performance design space.
• Produce component-level sensitivity analysis to allow owners to make cost and performance tradeoffs.
• Utilize the models to produce repeatable results for stakeholders to drive product architecture and deployment decisions.
• Parallelize modeling framework to utilize cloud computing resources.
• Lead model validation efforts by writing test plans and coordinating tests with engineers.
• Communicate modeling results to drive architecture and performance initiatives.

Skills

First-principles physics understanding

Software collaboration

Python

MATLAB/Simulink

Control techniques

Education

MS/PhD in Mechanical Science or Electrical Engineering

BS with 2+ years related experience

Tools

Python

MATLAB/Simulink

Job description

Sr. System Modeling Engineer, Energy Storage

About Redwood Materials

Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling—keeping critical minerals in circulation and driving the energy transition. Founded in 2017,we’re delivering low-cost and large-scale energy storage and producing battery materials in the U.S. for the first time, all from batteries we already have.

You will be an early member of a new engineering team, taking a hands-on role in the design, development, and integration of anew product.This position focuses on developingMultiphysicsmodelingplatformto drive the system design of a novel energy storage system.These models must be robust enough to support multiple users, but agile enough to quickly drive a diverse array of design decisions.

The ideal candidate is highly self-driven, adaptable to a startup environment, and eager to take on novel technical challenges. Ifyou’reexcited about working in a dynamic, fast-paced setting within a new department at Redwood, we want to hear from you!

If necessary, the job level will be adjusted to suit the applicant’s experience and responsibilities.

Responsibilities will include:

• ContributetoRedwood Material’s in-house performanceandtechnoeconomicmodel.


• Drive architectural studies to explore the cost and performance design space.


• Produce component-level sensitivity analysis to allowcomponentowners to make globallyoptimalcost and performance tradeoffs.


• Utilize the models to produce repeatable and dependable results for various stakeholders within the organization to drive product architecture and site-specific deployment decisions.


• Parallelize our modeling framework toutilizecloud computing resourcesto get results faster.


• Lead model validation efforts by writing test plans, working with test engineers to execute the test, and using the data to correlate the model.


• Effectively communicate modeling results to drive architecture and performance initiatives.

Desired Qualifications:

• An MS or PhD in Mechanical Science, Electrical Engineering, or a related field. Or a BS and 2+ years of related work experience.


• Excellent first-principlesphysics understanding of electrical and mechanical systems, power delivery, energy storage and transformation, and basic thermal mechanics.


• Experience collaborating in software projects with multiple contributors.


• Hybrid or electric powertrain model development, PV model development,ordata analysis in Python or MATLAB/Simulink.


• Familiarity with basiccontrolstechniques, such as filters,PIDcontrollers, and systemidentification.


• Experience with optimization techniques.


• Demonstratedabilityto write clear and testable engineering requirements.


• Strong communicationand collaboration skills.

In accordance with California pay transparency laws, the salary range for this position is listed below. Actual compensation may vary based on a variety of factors, including experience, education, and skills.

$115,000 - $230,000 USD

The position is full-time. Compensation will be commensurate with experience.

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