Real-time AI speech translation and dubbing for live streams and video
Lingopal builds live speech-to-speech translation and AI dubbing, and its stack reads like a broadcast engineering shop: Rust, C++ and Go services over gRPC, with FFmpeg, GStreamer, RTMP, MPEG-TS and WebRTC handling media transport. Accelerating, senior-heavy engineering hiring centers on latency spikes, audio recombination distortion and ad-marker drops, signaling a push into reliable live broadcast and streaming delivery at scale.
Lingopal is a privately held company headquartered in New York City, founded in 2023, with 51-200 employees. It offers AI-powered dubbing and real-time speech-to-speech translation across more than 120 languages for live streams, video-on-demand, meetings and phone calls. Its proprietary models aim to keep tone and expression intact in translated audio, with an emphasis on low latency and security. The company serves media, streaming and financial-sector customers, and runs its infrastructure on AWS with Kubernetes. Hiring is currently focused in the United States.
Lingopal uses Rust, Python, Go and C++ with gRPC, FFmpeg, GStreamer, WebRTC, RTMP and MPEG-TS for media, running on AWS with Kubernetes, KEDA and ArgoCD, plus Next.js, React and TypeScript on the frontend.
Yes. Hiring is accelerating and skews heavily toward senior and staff engineering roles in the United States, with a smaller sales presence focused on outbound campaigns.
Real-time audio/video processing pipelines, low-latency streaming integration, an ASR/TTS pipeline with audio source separation and voice recombination, HLS optimization and autoscaling strategy.
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Lingopal's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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