About The Position

We are seeking a Research Intern to join our Audio team. This position will focus on estimating the effective low-frequency corner (ELFC) of audio render systems based on its hardware system capability (distortion). This internship offers hands-on experience in simulation, signal processing, and system modeling with mentorship from an experienced audio engineering team of architects and researchers.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. 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.

Requirements

  • Currently has or is in the process of obtaining a PhD in the field of Electrical Engineering, Computer Science, Acoustics, Physics, or related field
  • Demonstrated expertise with COMSOL, Python (NumPy, SciPy, Matplotlib) andor MATLAB for simulation and data analysis
  • Proven analytical and problem-solving skills
  • Intent to return to degree program after the completion of the internshipco-op
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

Nice To Haves

  • Demonstrated knowledge of audio render systems (loudspeakers)
  • Demonstrated experience in the areas of audio system design
  • Experience working and communicating cross functionally in a team environment
  • Interest in VR systems, audio technology, and signal processing

Responsibilities

  • Understand VR render pipeline: learn the key stages in VR render systems, focusing on low-frequency signal reproduction, and the relationship between transducer distortion and low frequency output.
  • Leverage Simulation Methodology and develop as needed: Design and implement simulations to generate sinusoidal inputs and model system responses.
  • Define and Calculate ELFC: Establish a quantifiable metric for ELFC using simulated data, analyzing factors like phase shift and amplitude attenuation.
  • Correlate ELFC with System Capability: Investigate and model the relationship between ELFC and hardware system capability using statistical analysis.
  • Document and Present Findings: Prepare comprehensive reports and deliver a final presentation summarizing methodology, results, and recommendations.
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