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Senior System Software Engineer, Speech AI

Nvidia·Pune

Pay not stated6–11 yrsFull-time

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About the role

This role involves hands-on technical engagement with customers to implement, troubleshoot, and optimize Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Audio Language Models (ALM), and Speech-to-Speech (S2S) systems in production environments. If you're creative & passionate about solving real world conversational AI problems, come join our Speech AI Engineering team.

What you'll do

  • Work on cutting-edge GPU-accelerated AI systems deployed at scale
  • Tackle challenging problems in real-time streaming audio processing and low-latency inference
  • Troubleshoot and resolve complex issues across ASR, TTS, ALM, and S2S pipelines
  • Develop Core Speech Services : Build and enhance C++ & python backend implementations for ASR, TTS, and S2S pipelines, leveraging CUDA for GPU acceleration
  • Optimize Inference Performance: Improve streaming latency and throughput through advanced batching strategies, encoder caching, and multi-threaded pipeline optimizations

What you need

  • 6–11 yrs of experience
  • Python
  • C++
  • LLMs
  • gRPC
  • Deep learning
  • B.Tech or B.E. or M.Tech or MCA or M.Sc

Good to have

  • Machine learning
  • Embedded C

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