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.
We're seeking an experienced Software Engineer to work on NVIDIA’s high-performance GPU-accelerated Speech AI platform. You'll contribute to building and optimizing core speech recognition (ASR), text-to-speech (TTS), and S2S services that power real-time conversational AI applications at scale. If you're creative & passionate about solving real world conversational AI problems, come join our Speech AI Engineering team.
What you’ll be doing:
- 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
- Performance Analysis: Profile and debug complex multi-threaded systems, identifying bottlenecks in GPU/CPU pipelines
What we need to see:
- Masters or BE/BTech in Computer Science, computer architecture, or related field
- 4+ 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
- Systems Programming: Deep knowledge of multi-threading, synchronization primitives, thread pools, and concurrent data structures
- Build Systems: Hands-on experience with Bazel or similar build systems
- Performance Optimization: Track record of identifying and resolving performance bottlenecks in latency-sensitive systems
- Experience building and deploying cloud services using HTTP REST, gRPC, Websockets and related technologies
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.