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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. If you're creative & passionate about solving real world conversational AI problems, come join our Speech AI Engineering team.

What you’ll be doing:

• 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

What we need to see:

• 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

Ways to stand out from the crowd:

• Publications or contributions to ML optimization open-source projects.

• Experience with embedded systems or edge deployment    

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.