# Senior System Software Engineer, Speech AI

**Company**: NVIDIA
**Location**: Pune, India
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/India-Pune/Senior-System-Software-Engineer--Speech-AI_JR2020087-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d234ad77-977

## Description

NVIDIA is looking for a Senior System Software Engineer with deep expertise in speech technologies to support enterprise and developer customers. 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.

**Responsibilities:**

- 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

- Model Integration: Work alongside Model researchers to transition ASR, TTS and S2S models from research to production readiness

- 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

- Feature Development: Add new capabilities such as advanced voice activity detection, speaker diarization, decoder implementations (CTC, WFST, Flashlight), and text post-processing

- Client Libraries: Contribute to Python and C++ client SDKs and CLI tools for easy service integration

- Assist with API integration, SDK usage, model deployment, and performance optimization

- Provide advanced technical guidance to customers implementing speech technology solutions

**Requirements:**

- Masters or BE/BTech in Computer Science, computer architecture, or related field

- 6+ years of experience

- Excellent C++ & Python programming and software design skills, including debugging, performance analysis, and test design

- Experience with inference pipelines for LLM, Speech Recognition & Speech Synthesis

- Solid understanding of modern model architectures (Transformers, CNNs, RNNs)

- Excellent debugging abilities spanning multiple software (storage systems, kernels and containers)

- Experience building and deploying cloud services using HTTP REST, gRPC, Websockets and related technologies

- Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment

- Ability to work independently, define project goals and scope and manage your own development effort

- Knowledge of real-time streaming audio systems and low-latency architectures

- Experience with speech model fine-tuning or customization

## Skills

### Required
- C++
- Python
- GPU acceleration
- CUDA
- Speech Recognition
- Speech Synthesis
- ASR
- TTS
- ALM
- S2S
- Transformers
- CNNs
- RNNs
- HTTP REST
- gRPC
- Websockets

### Nice to have
- Publications or contributions to ML optimization open-source projects
- Experience with embedded systems or edge deployment

---

Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/India-Pune/Senior-System-Software-Engineer--Speech-AI_JR2020087-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)