Senior System Software Engineer - Speech AI

NVIDIA
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Job Description

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 Recognition (ASR)
  • Develop GPU accelerated Inference implementations of sophisticated speech AI algorithms like Speech Recognition, Speaker Diarization, NeuralVAD, Text/Inverse Text Normalization
  • Analyzing performance bottlenecks and implementing optimization techniques for Speech Algorithms
  • Developing customization techniques for speech recognition systems
  • Collaborate with various teams on new product features and improvements of existing products

What we need to see:

  • Masters or Bachelors 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 developing and maintaining Inference Services for Speech algorithms
  • Background with productization of CTC, RNNT Decoder, language models & WFST/Neural networks based Text normalization & Inverse Text normalization
  • 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.

Company Info.

NVIDIA

NVIDIA’s invention of the GPU sparked the PC gaming market. The company’s pioneering work in accelerated computing—a supercharged form of computing at the intersection of computer graphics, high performance computing and AI—is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others.

  • Industry
    Cloud computing,Video games,Computer software,Semiconductors,Computer hardware,Consumer electronics,Artificial intelligence
  • No. of Employees
    22,473
  • Location
    2701 San Tomas Expressway, Santa Clara, CA 95050, USA
  • Website
  • Jobs Posted

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