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

.

- 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

.

- 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 environments.

Required Skills

- Robust

Python and backend development experience.

- Experience with speech AI / ASR / TTS / conversational AI

.

- NVIDIA GPU ecosystem experience

CUDA, TensorRT, Triton, NIM or NeMo

.

- Experience with LLMs and real-time inference.

- WebSockets, WebRTC or streaming architectures.

- Docker and Kubernetes.

- Experience optimizing latency, throughput and GPU utilization

.

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