Software Engineer - Audio Specialist
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.
We are the team that builds the Real-Time media stack for low-latency media connections at global scale. Do you want to build new features and improve existing products that connect people in real-time via Messenger, Facebook, Oculus, and more? Want to solve unique, large-scale, highly complex technical problems? Facebook is looking for a hands-on Software Engineering Lead with audio pipeline experience. The candidate must have experience with audio codecs, jitter buffer, audio signal processing, writing and debugging C/C++ code. This engineer will be personally responsible for the audio stack in a real-time communication engine, which includes codecs, signal processing, media capture, data collection. Must be skilled using data collected in the field at global scale (i.e. many regions, networks, devices, and people) to identify areas of improvement, or be passionate about learning this skill on the job.
- Identify areas of improvement for Audio quality on mobile devices.
- Design and conduct in field experiments with audio quality changes.
- Design and code reviews.
- Guide team to success.
- BS/MS in Computer science or Electrical engineering.
- Experience with Audio stack like codecs, audio capture/render, jitter buffer and signal processing.
- C/C++ multi threaded programming experience.
- Data analysis background.
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