• Job Description

  Req#: JR1971657

  NVIDIA's technology is at the heart of the AI revolution, touching people across the planet by powering everything from self-driving cars, robotics, and voice-powered intelligent assistants. Academic and commercial groups around the world are using NVIDIA GPUs to revolutionize deep learning and data science, and to power data centers.
  

  We are looking for a Research Engineer to join the Algorithmic ML Optimization team that is developing new efficient ML architectures. In this role you will interact with the scientific community creating algorithms to accelerate the training and inference of ML models for Conversational AI.

  What you’ll be doing:

  • Create new efficient ML architectures for Conversational AI (LLM, NLP, ASR, TTS, Multimodal/Vision)

  • Develop model optimization algorithms based on Neural Architecture Search, Pruning, Knowledge Distillation, etc.

  • Work in a dynamic, applied team of engineers and researchers

  • Work on large-scale multi-node ML models

  What we need to see:

  • Master’s degree in Computer Science, Artificial Intelligence, Applied Math, or related field

  • Machine learning fundamentals (linear algebra, probability theory, optimization, supervised/unsupervised/self-supervised ML, etc.)

  • Hands-on experience with Deep Learning (Convolutional Neural Networks, Transformers, etc.)

  • Experience in Conversational AI technologies (LLM, NLP, ASR, TTS, Multimodal/Vision) or a related field.

  • Programming skills (Python, C/C++), algorithms & data structures, debugging, performance analysis, and design skills.

  • Experience with deep learning frameworks such as PyTorch or TensorFlow

  • Ability to work independently and handle your own work effort.

  • Good communication and documentation habits.

  Ways to stand out from the crowd:

  • Good track of publications in leading international conferences/journals

  • Experience with ML model optimization techniques such as Neural Architecture Search, Pruning, Distillation, Quantization, etc.

  • Knowledge of CPU and/or GPU architectures in the context of ML algorithms.

  • Ph. D. degree or equivalent experience.

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

  
  We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

• About the company

  9637389 Nvidia Corporation is an American multinational technology company incorporated in Delaware and based in Santa Clara, California.

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