Power Electronics Controls Engineer, Energy Storage
Responsibilities
Software-Defined Power: Design and optimize advanced control algorithms for high-power BESS, focusing on grid-forming, grid-following, and complex multi-asset energy site synchronization.
High-Power Conversion Architecture: Develop bidirectional DC/DC and AC/DC control schemes for industrial-scale storage, ensuring peak efficiency, thermal stability, and safety across all operating modes.
Digital Twin Development: Build high-fidelity “Digital Twins” of power stages and grid environments using PLECS and MATLAB/Simulink to predict system behavior under extreme transient and fault conditions.
Virtual & Hardware Validation: Architect and lead comprehensive Hardware-in-the-Loop (HIL) testing environments (Opal-RT/Typhoon) to rigorously stress-test control firmware before deployment.
Circular Asset Integration: Collaborate with battery and systems teams to implement control strategies that optimize the performance and longevity of mixed-asset arrays, including the integration of recycled battery chemistries.
Cross-Functional Leadership: Partner closely with electrical, firmware, and thermal engineers to define the long-term roadmap for modern, resilient energy storage site controllers.
Qualifications
- Educational Depth: MSc or PhD in Electrical Engineering with a specialization in Power Electronics Control Systems. (MSc requires 3+ years of relevant industry experience; PhD preferred)
- Topology Mastery: Deep theoretical and practical mastery of high-efficiency power conversion. You are an expert in resonant topologies (LLC, CLLC, DAB) and advanced multi-level architectures, specifically Flying Capacitor (FC) and Active Neutral Point Clamped (ANPC)
- Control Theory Expertise: Proven ability to design robust closed-loop controllers (Bode, Nyquist, State-Space) and implement them effectively on digital signal processors (DSPs) or microcontrollers
- Modern Toolchain: Expert-level MATLAB/Simulink and PLECS for modeling and simulation, strong proficiency in C for real-time embedded systems, experience with Python for automation, scripting, and data analysis
- Proactive Innovation: A self-driven attitude with the ability to navigate the ambiguity of a fast-paced R&D environment. You enjoy building the framework as much as you enjoy writing the code
- Grid Standards: Familiarity with grid-interconnection codes (e.g., IEEE 1547, UL 1741) and their implications for controls development is highly desirable
Pay
California Pay Range: $160,000 - $252,500 USD
Schedule
The position is full-time.