Battery Algorithm Engineer Meta - 4.0 Redmond, WA Job Details $173,000 - $245,000 a year 7 hours ago Qualifications Program management Electrochemistry Embedded systems Firmware Firmware development Collaboration with product development teams RTOS Technical writing Engineering product development Cross-functional team management Energy storage systems Project stakeholder communication Cross-functional communication Validation design Full Job Description 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.

Battery Algorithm Engineer Responsibilities:

Responsibilities Lead the design and development of battery algorithms across the wearables portfolio — SOC/SOH estimation, fuel gauging, charge-time and peak-power optimization, and battery-life extension Shape the technical strategy and roadmap for battery algorithms, contributing to key architectural decisions and the standards and best practices that the team builds on Drive cross-functional execution across cell, hardware, firmware, and validation teams, data science, data engineering, resolving challenging algorithm problems and unblocking programs to deliver on schedule Own algorithm requirements and configurations for fuel gauge ICs and drive their integration to silicon across NPI programs Advance control theory and data-driven AI-ML methods to improve estimation accuracy and robustness across temperature, aging, and load Ground algorithm design in the underlying battery electrochemistry — leverage physics-based and reduced-order battery models to inform SOC/SOH estimation, charge optimization, and degradation-aware control Turn field telemetry and degradation behavior into algorithm improvements — attribute real-world fade to its drivers and feed it back into the next generation of estimation and charge-control algorithms Mentor and grow engineers, raise the technical bar, and help influence engineering direction across the team

Minimum Qualifications:

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

Preferred Qualifications:

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

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at . $173,000/year to $245,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.