NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars 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. Would you like to join us at the forefront of technological advancement?

Join our Jarvis conversational AI team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a virtual assistant powered by AI can engage with human to answer questions and perform tasks. An AI-powered chatbot can learn conversation skills through trial and error. This is truly an extraordinary time. The era of AI has begun.

What you'll be doing:

As a Software Intern on our Jarvis team, you will be working on research, design and implementation of SW features in the Jarvis conversational AI and intelligent assistant. You will use machine learning, deep learning speech, NLP, and computer vision techniques combined with rules-based domain specification to build high performant conversational AI services with robust API interface for data center, cloud, and embedded platforms.

What we need to see:

• Pursuing BS/MS degree in Computer Science/EE or related
  
  


• Strong fundamentals in embedded systems, programming and SW design
  
  


• You have strong knowledge of ML/DL techniques, algorithms and tools with exposure to CNN, RNN (LSTM), transformers (BERT & GPT-2/3), NLP, speech, and/or Computer Vision
  
  


• Shown ability to develop robust and efficient APIs (REST, RPC, GRPC) for machine learning model inference and managing related workflows.
  
  


• Excellent fluency with C/C++ and Python
  
  


• Strongly believe that prototyping is the right way to prove the idea
  
  

Ways to stand out from the crowd:

• NLP, speech or audio processing experience is highly desired
  
  


• Experience with building machine learning model inference pipeline as a service
  
  


• Experience with deploying machine learning models on data center, cloud, and embedded systems
  
  


• Background with one of the following: dialog systems and conversational platforms, computer vision, signal processing
  
  


• Familiarity with GPU computing (CUDA, OpenCL, OpenACC)
  
  


• Background with Dockers and Kubernetes
  
  


• Familiarity with ONNX and TensorRT
  
  


• Worked with variety of vision, depth and audio sensors
  
  

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you!

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.