Battery Algorithm Engineer

Meta Reality Labs is seeking a Battery Algorithm Engineer to define and lead the development of advanced battery management algorithms and state estimation systems for next-generation virtual and augmented reality devices, including headsets, wearables, and smart glasses. In this role, you will own the long-term technical strategy for battery algorithms across Meta's Reality Labs hardware portfolio, driving innovations in state-of-charge estimation, state-of-health prediction, cell balancing, and adaptive charging to maximize energy density, safety, and longevity in highly constrained wearable form factors.

• 8+ years of experience developing battery management system algorithms, including state estimation, adaptive charging, or cell balancing for consumer electronics or wearable devices
• Experience with electrochemical modeling techniques such as equivalent circuit models, physics-based models, or data-driven approaches applied to lithium-ion or emerging cell chemistries
• Experience implementing and validating battery algorithms in embedded firmware environments, including integration with battery management system ICs and real-time operating system constraints
• Experience leading cross-functional technical programs involving hardware, firmware, and electrochemistry teams from algorithm definition through product validation
• Experience communicating complex algorithm design decisions and technical trade-offs in writing to both engineering and non-engineering stakeholders
• Experience with data-driven AI/ML algorithms for battery control and health diagnostics
• Working knowledge of communication protocols such as SPI and I2C, and interfacing with microcontroller peripherals
• Background in high-volume consumer electronics or electric vehicle battery applications
• Experience developing embedded applications for microprocessors, including familiarity with real-time operating systems
• Understanding of hardware and clock-level considerations (interrupts, delays, clock gating, polling)
• PhD in electrical engineering, electrochemistry, or a relevant field, with 8+ years of experience in developing battery algorithms
• Working-level experience with Li-ion degradation mechanisms (capacity/power fade, swell) and how they inform SOH and charge-optimization algorithms