Research Engineer, Embedded Systems
Meta
Job Overview
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Job Description
Research Engineer, Embedded Systems at Meta
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.
By joining our team, you will have the opportunity to work on breakthrough technologies that redefine how people connect and communicate, collaborate with world-class researchers and engineers in a fast-paced, mission-driven environment, and shape the future of AI wearables and superhuman audio experiences.
Responsibilities
- 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
Minimum Qualifications
- 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
Preferred Qualifications
- 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
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.
Key skills/competency
- Embedded DSP
- Audio Processing
- C/C++ Programming
- Real-time Systems
- Firmware Development
- Digital Signal Processing
- Hardware Integration
- Debugging & Validation
- Wearable Technology
- Bluetooth Protocols
How to Get Hired at Meta
- Research Meta's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight embedded DSP, audio processing, C/C++, and real-time system development expertise.
- Showcase project impact: Describe how you've translated experimental algorithms into robust, real-world embedded solutions.
- Prepare for technical interviews: Deep dive into DSP algorithms, embedded hardware platforms, and C/C++ real-time programming challenges.
- Demonstrate collaboration: Be ready to discuss experiences working cross-functionally with hardware, software, ML, and UX teams.
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