Job description 

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