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Software Engineer - Audio Applied Scientist

Meta

$85,100 - $251,000
Aug 27, 2025
Burlingame, CA, USA • Redmond, WA, USA
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At Meta, the business problem is to revolutionize the way people connect, work, and play by developing cutting-edge audio technologies that redefine the way we experience sound in virtual and augmented worlds.

Requirements

  • C or C++ experience, including use of C++11/14/17 features
  • Expertise in audio signal processing and auditory perception, both classical and machine learned techniques
  • Proven track record of innovation as demonstrated by products shipped, publications and/or patents
  • Experience with audio software development including DSP, machine learning, and/or hybrid systems
  • Experience in Android or Linux audio stack development
  • Experience developing, debugging, and shipping software products on large code bases that span platforms and tools
  • Experience with audio-related software features across all layers of the audio stack

Responsibilities

  • Develop and implement innovative audio technologies, including general audio processing, audio ML/AI algorithms, and audio codecs
  • Identify areas for improvement in scalability, performance, quality, and reliability across the audio stack
  • Collaborate with cross-functional teams to deploy new audio technologies as-a-service and as-a-platform
  • Analyze, design, develop, and debug audio features on Android systems
  • Work effectively in a team environment, making architectural tradeoffs to deliver software solutions rapidly
  • Develop software for consumer devices, prioritizing efficiency and delivering high-quality results
  • Create clean, readable code and debug complex problems

Other

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 7+ years software development experience in industry settings or PhD with 4+ years of experience
  • 3+ years relevant audio software engineering experience in industry settings
  • Demonstrated experience working collaboratively in cross-functional teams
  • MS or PhD in Electrical Engineering, Computer Science or equivalent