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.
Power Electronics Intern
The Power Electronics Engineering Intern will support the development of next-generation Pack Managers for Energy Storage Systems (ESS) utilizing recycled batteries specifically for AI Data Centers. You will be responsible for the detailed power electronics design, prototyping, and preparing for high-volume production of efficient, cost-effective, and technologically leading-edge power converters. Working with high-voltage systems and high-power levels, this role requires a deep understanding of soft-switching DC-DC converter topologies to ensure maximum performance of the product. This is a Summer 2026 position.
Responsibilities Will Include:
- Design and develop high-voltage, high-power (~1500V, ~50kW) DC-DC resonant converters for recycled battery integration. Design and develop high-voltage, high-power (~1500V, ~50kW) DC-DC resonant converters for recycled battery integration
- Optimize converter to achieve consistent soft-switching, ensuring high efficiency across a wide range of battery voltages during both charge and discharge modes. Optimize converter to achieve consistent soft-switching, ensuring high efficiency across a wide range of battery voltages during both charge and discharge modes
- Develop high-fidelity transformer models and conduct detailed trade-off analyses between power density, thermal constraints, and cost
- Prototype and validate power stages, performing bench testing to verify thermal performance and efficiency targets. validate power stages, performing bench testing to verify thermal performance and efficiency targets
Desired Qualifications:
- MS or PhD candidate in Electrical Engineering with a focus on Power Electronics
- Deep theoretical and practical understanding of Resonant DC-DC converter modulation schemes (e.g., frequency modulation, phase-shift control)
- Expertise in magnetics design using Ansys Maxwell for transformer modeling, including inductance matrix extraction and detailed winding/core loss analysis
- Proficiency in simulation tools such as Simulink and LTspice for transient and steady-state circuit analysis
- Hands-on experience with Altium Designer for multi-layer PCB layout, specifically for high-power and high-voltage creepage/clearance 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.
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].
Top Skills
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
