Job Summary

We are looking for a Voice Systems Engineer to build and optimize real-time, GPU-accelerated voice AI systems using NVIDIA technologies. The role focuses on speech-to-text, text-to-speech, conversational AI, low-latency inference, and integrating NVIDIA speech/AI models into enterprise applications.

Key Responsibilities
Build real-time voice AI pipelines for speech-to-text, LLM reasoning, and text-to-speech

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Work with NVIDIA GPU technologies and optimize inference for low latency and high throughput.
Integrate NVIDIA speech and generative AI models into enterprise AI platforms.
Work with

NVIDIA NIM, NeMo, TensorRT, Triton Inference Server and CUDA/PyCUDA

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Build streaming voice APIs using Python, FastAPI, WebSockets/WebRTC or similar technologies.
Optimize GPU utilization, concurrency,



batching and real-time inference performance.
Integrate voice agents with enterprise applications, databases and APIs.
Package and deploy production-ready voice AI solutions for enterprise settings.

Required Skills
Robust

Python and backend development experience.
Experience with speech AI / ASR / TTS / conversational AI

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NVIDIA GPU ecosystem experience

CUDA, TensorRT, Triton, NIM or NeMo

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Experience with LLMs and real-time inference.
WebSockets, WebRTC or streaming architectures.
Docker and Kubernetes.
Experience optimizing latency, throughput and GPU utilization

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📌 Nvidia Voice Systems Engineer Hyderabad (India)
🏢 nugget.ai
📍 India