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Reality Labs (RL) is Meta’s innovation engine for next-generation AR/VR, AI, and wearable technologies. Our Audio team pioneers research and development at the intersection of sound, embedded systems, and human experience—enabling new ways for people to connect, communicate, and collaborate. We are seeking a Research Engineer with expertise in embedded digital signal processing (DSP) to join our Reality Labs Audio team. You will contribute to an ambitious new project focused on AI wearables—advancing Meta’s Superhuman Communication & Connection initiative. This role is ideal for engineers interested in audio, embedded systems, and real-world impact.
Job Responsibility:
Design, implement, and optimize DSP algorithms for audio processing on embedded platforms
Develop firmware and software for ear buds, hearables, and hearing aid devices
Collaborate with research scientists to translate experimental algorithms into robust, real-time embedded solutions
Integrate DSP modules with hardware and software stacks for wearable audio devices
Conduct performance analysis, debugging, and validation of embedded audio systems
Support prototyping and field testing of new features and product concepts
Work cross-functionally with hardware, software, ML, and UX teams to deliver end-to-end solutions
Document engineering processes and contribute to best practices for embedded audio development
Requirements:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field
2+ years of experience in embedded DSP development for audio applications
Proficiency in C/C++ and real-time embedded programming
Experience with audio signal processing algorithms (e.g., filtering, noise reduction, speech enhancement)
Familiarity with embedded hardware platforms and development tools
Demonstrated problem-solving and collaboration skills
Nice to have:
Experience with ear buds, hearables, or hearing aid devices
Background in AR/VR, wearable technology, or human-computer interaction
Knowledge of Bluetooth audio protocols and low-power embedded design
Experience with prototyping and testing audio hardware