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HomeCompaniesRedwood MaterialsSystem Modeling Engineer, Energy Storage

System Modeling Engineer, Energy Storage

Redwood Materials · San Francisco, California, United States · Hybrid · Active · $127,500–$248,500 / year · Greenhouse

Job facts

FieldValue
CompanyRedwood Materials
TitleSystem Modeling Engineer, Energy Storage
Normalized title-
Department / teamEngineering & Technology
LocationSan Francisco, CA, United States
Work modelHybrid / Hybrid
Employment type-
Salary$127,500–$248,500 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2025-12-15 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Redwood Materials.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Engineering & Technology.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyRedwood Materials
Sourced3a222d2-da07-4d7d-a0e0-92c93f1a6af5
ATS providerGreenhouse

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 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. System Modeling Engineer, Redwood Energy 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. 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: $127,500 — $248,500 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 [email protected].

Full job record

Job IDd3f6045326850cd89cd5a07eaab952050a9c2a7e
Org ID28c00ad2-80ab-428f-90f5-f7edf7934fd3
Source IDd3a222d2-da07-4d7d-a0e0-92c93f1a6af5
Board IDd3a222d2-da07-4d7d-a0e0-92c93f1a6af5
Providergreenhouse
Provider Job Key5737110004
TitleSystem Modeling Engineer, Energy Storage
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco, California, United States
DepartmentEngineering & Technology
Team
Employment Type
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CitySan Francisco
Salary RawPay Range: $127,500 — $248,500 USD The position is full-time
Salary Min127,500
Salary Max248,500
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://boards.greenhouse.io/redwoodmaterials/jobs/5737110004?gh_jid=5737110004
Apply URLhttps://boards.greenhouse.io/redwoodmaterials/jobs/5737110004?gh_jid=5737110004
First Seen At2026-05-29 23:03:36Z
Last Seen At2026-06-06 07:35:10Z
Last Checked At2026-06-06 07:35:10Z
Last Changed At2026-05-29 23:03:36Z
Inactive At
Source Posted At2025-12-15 15:22:58Z
Source Updated At2026-05-06 15:34:42Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=redwoodmaterials/date=2026-06-06/2026-06-06T07-35-10-491Z-2993d3c75ade1298e639d20ec030dd7850f0fab4300230e38797ce43232650b5.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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