Senior System Software Engineer, Speech AI
NVIDIA is hiring a Senior System Software Engineer in the speech AI team to work on GPU-accelerated AI systems. The role focuses on developing and optimizing production-grade ASR, TTS, and S2S pipelines using C++ and Python. Candidates will bridge the gap between research and production, improving low-latency inference for enterprise customers. Proficiency in CUDA, modern model architectures, and real-time streaming is essential.
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Experience
5+ years
Function
Engineering
Work mode
Onsite, India
Company
Tier 1
What you will work on
NVIDIA is hiring a Senior System Software Engineer in the speech AI team to work on GPU-accelerated AI systems. The role focuses on developing and optimizing production-grade ASR, TTS, and S2S pipelines using C++ and Python. Candidates will bridge the gap between research and production, improving low-latency inference for enterprise customers. Proficiency in CUDA, modern model architectures, and real-time streaming is essential.
TAL's take
High-tier global company hiring for a specialized, high-impact role in speech AI.
The role is highly well-defined with clear technical stack requirements and specific domain responsibilities.
Salaries at NVIDIA
29.5 LPA average
Based on 43 Grapevine salary entries for NVIDIA.
Engineering
0 - 2 years | IC2
14 LPA average
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Engineering
2 - 4 years | IC3
21 LPA average
Range: 20 - 22 LPA
Engineering
4 - 6 years | IC3
29 LPA average
Range: 23 - 35 LPA
Engineering
6 - 8 years | SDE 2
30 LPA average
Range: 17 - 37 LPA
Must haves
- 5+ years of experience
- Excellent C++ and Python programming and software design skills
- Experience with inference pipelines for LLM, Speech Recognition and Speech Synthesis
- Solid understanding of modern model architectures (Transformers, CNNs, RNNs)
- Knowledge of real-time streaming audio systems and low-latency architectures
Tools and skills
Nice to have: embedded systems, edge deployment.
About the company
NVIDIA is a premier global technology leader in AI and GPU computing.