System Software Engineer, Speech AI Full-time

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 Senior System Software engineer to develop high-impact, high-visibility Speech AI product “Riva” & improve the experience of millions of customers. If you’re creative & passionate about solving real world conversational AI problems, come join our Riva Product engineering team. For more details on Riva check https://developer.nvidia.com/riva

What you’ll be doing:

• Develop conversational AI software to serve predictions from trained neural networks running on GPUs for Speech Synthesis(TTS)
• Develop GPU accelerated implementations of sophisticated speech AI algorithms like Speech Synthesis(TTS), Voice style transfer, Neural G2P, Neural Network based Vocoders
• Analyzing performance bottlenecks and implementing optimization techniques
• Collaborate with various teams on new product features and improvements of existing products

What we need to see:

• Masters or Bachelors (or equivalent experience) in Computer Science, computer architecture, or related field
• 3+ years of experience
• Excellent C++ programming and software design skills, including debugging, performance analysis, and test design
• Experience with inference Services for Speech Recognition, speech synthesis, Speech Translation, Machine Translation
• Background with productization of TTS models( FastPitch, Tacotron etc.) & vocoders(HifiGan)
• Experience with Multithreading, IPC, Distributed systems programming
• Excellent Debugging abilities spanning multiple software (storage systems, kernels and containers)
• Experience building and deploying cloud services using HTTP REST, gRPC, protobuf, JSON and related technologies
• Familiarity with version control and code review tools like Git, Gerrit.

Ways to stand out from the crowd:

• Background with container technologies such as docker
• Experience with Helm charts for deployment of containers & managing kubernetes applications
• Python Programming
• Knowledge of GPU programming such as OpenCL or CUDA

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.