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Cantina, Inc. is seeking a Media Software Engineer in Sunnyvale/San Francisco with 3+ years of experience to enhance real-time speech and media systems powering AI conversations. You’ll tackle low-latency pipelines, cross‑platform WebRTC work, and high-performance C++ components across iOS, Android, and web.
The role emphasizes independent project execution and collaboration with the Cantina Labs team to push speech recognition and synthesis capabilities in a fast-paced, creative AI environment.
Sunnyvale; San Francisco
Full time
Hybrid
About Cantina:
Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.
If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!
About the Role:
The Media Team at Cantina is building the real-time infrastructure powering live conversations between people and AI characters. Our goal is simple to express, but challenging to make real: enabling fast, natural, and truly conversational interaction with diverse and creative characters.
We’re looking for a Software Engineer to help improve the speech, audio, and media systems at the heart of the Cantina experience.
This team’s responsibilities cover low-level media processing pipelines, integration with internal and external models for speech recognition and synthesis, and globally distributed, WebRTC-based infrastructure supporting real-time voice and video interactions across iOS, Android, and web.
If you’re excited by high-performance C++, real-time systems, speech technologies, and building the future of conversational AI, we’d love to talk.
The anticipated annual base salary range for this role is between $180,000-$270,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.