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.