System Software Engineer, Speech AI (nvidia)
Job posting number: #130424 (Ref:JR1982338)
This Job Posting is Expired.
Job Description
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 checkJOB IS FROM: italents.netVIEW 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.