System Modeling Engineer, Energy Storage at Redwood Materials
San Francisco, California, United States -
Full Time


Start Date

Immediate

Expiry Date

29 Dec, 25

Salary

248000.0

Posted On

30 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Multiphysics Modeling, Energy Storage, Technoeconomic Modeling, Sensitivity Analysis, Cloud Computing, Model Validation, Communication Skills, Collaboration Skills, Electrical Systems, Mechanical Systems, Power Delivery, Data Analysis, Optimization Techniques, Controls Techniques, Engineering Requirements, Python, MATLAB/Simulink

Industry

Renewable Energy Equipment Manufacturing

Description
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 2019, 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. System Modeling Engineer, Energy Storage Essential Duties: You will be an early member of a new engineering team, taking a hands-on role in the design, development, and integration of a new product. This position focuses on developing Multiphysics modeling platform to 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. If you’re excited 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: Contribute to Redwood Material’s in-house performance and technoeconomic model. Drive architectural studies to explore the cost and performance design space. Produce component-level sensitivity analysis to allow component owners to make globally optimal cost 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 to utilize cloud computing resources to 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-principles physics 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, or data analysis in Python or MATLAB/Simulink. Familiarity with basic controls 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. Physical Requirements: Ability to perform the essential job functions consistent safely and successfully with the ADA, FMLA and other federal, state and local standards, including meeting qualitative and/or quantitative productivity standards Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state, and local standards Working Conditions: Environment, such as office or outdoors Ability to work in challenging working conditions which may include exposure to noise, dust, chemicals, and temperature extremes, while protected by PPE, for extended periods of time Essential physical requirements, such as climbing, standing, stooping, or typing Occasional work weekends, nights, or be on-call as a regular part of the job Occasional travel requirements 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. California Pay Range: $148,000—$248,000 USD The position is full-time. Compensation will be commensurate with experience. We collect personal information (PI) from you in connection with your application for employment with Redwood Materials, including the following categories of PI: identifiers, personal records, professional or employment information, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment. If you have additional privacy-related questions, please contact us at privacy@redwoodmaterials.com.
Responsibilities
The System Modeling Engineer will design, develop, and integrate a new product focused on a multiphysics modeling platform for energy storage systems. Responsibilities include contributing to performance models, conducting architectural studies, and validating models through testing.
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