System Modeling Engineer, Energy Storage
$127.5k - $248.5kFull-time
Redwood Materials
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.
- 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.
Vacancy posted 25 days ago
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