Senior System Software Engineer, Speech AI

Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, autonomous cars and conversational AI that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.

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