Sr. System Modeling Engineer, Energy Storage

San Francisco, CAfull time

On Site

senior

$115k–$230k

H1B: no

Redwoodmaterials The Sr. System Modeling Engineer at Redwood Materials will develop a Multiphysics modeling platform to drive the system design of a novel energy storage system. This role involves contributing to performance and technoeconomic models and leading model validation efforts.

Responsibilities

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.
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.

Qualification

MS or PhD in Mechanical ScienceExperience with optimization techniquesAn MS or PhD in Mechanical Science

Required

MS or PhD in Mechanical Science, Electrical Engineering, or related field, or BS with 2+ years related 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
Experience with 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

Preferred

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.

Company

Redwoodmaterials

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Source: greenhouse

Active within the past hour

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