Imagine being at the epicenter of the next great industrial shift.
Key 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
Requirements
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
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.
Ready to Apply?
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