Software Engineer, Real-time Media

• Own audio quality on the client: echo, self-interruption, dropouts, and clipping
• Build and tune the browser audio pipeline with the Web Audio API, AudioWorklet, and getUserMedia constraints
• Work the WebRTC audio path end to end: AEC, noise suppression, and VAD
• Ship DSP to the client as C++/Rust compiled to WebAssembly, and as TypeScript in the audio pipeline
• Tune endpointing, interruption, and turn-taking so the agent listens like a person
• Reduce conversational latency and artifacts across the streaming pipeline
• Work in our React/TypeScript client where audio meets the UI
• Manage features end-to-end from prototyping through production
• Collaborate with designers, platform engineers, and our speech team.

• 5+ years of software engineering experience
• Shipped real-time audio into a product used by real users
• Hands-on experience with WebRTC, AEC (echo cancellation), noise suppression, and VAD
• Strong DSP fundamentals: adaptive filtering, STFT, resampling, and gain control
• C/C++ or Rust for production DSP, and experience shipping it to the browser via WebAssembly
• Working knowledge of the browser audio stack: Web Audio API, AudioWorklet, and MediaStream constraints
• Comfort with latency, buffering, and sample rates in a streaming audio pipeline
• Owns features end-to-end and works comfortably in a shared production codebase.

• Experience working at a voice, speech, or video-conferencing company
• ML for audio: noise suppression, VAD, or source separation (e.g. RNNoise, DeepFilterNet, Silero VAD), and on-device inference (ONNX Runtime, Core ML)
• Familiarity with WebRTC internals (the Audio Processing Module, AEC3, Opus) and voice-agent frameworks (LiveKit, Pipecat)
• TypeScript and React, and comfort working across the product frontend
• Experience with target-speaker isolation, diarization, or barge-in and turn-detection systems for conversational AI.

The US base salary range for this full-time position is between $170,000–$400,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience.

The total compensation package may also include additional components/benefits depending on the specific role.

This information will be shared if an employment offer is extended.