We are looking for extraordinary Deep Learning Software Engineers to develop and productize NVIDIA's deep learning solutions for edge AI products. As a member of NVIDIA's Embedded Solution Engineering team, you will utilize ground breaking NVIDIA deep learning model training/inference software libraries for deployment on NVIDIA's hardware architecture. You will develop new deep learning architectures, train deep learning models, and compile, optimize, and deploy Deep Neural Networks in low precision. You will build close technical relationships with our partners during product development and coordinate with the architecture and software teams to develop the best solutions for partners working on our platforms.

What you'll be doing:

• Train, fine-tune, optimize and customize perception DNNs in low precision (FP16/INT8).
  
  


• Apply low precision inference, quantization, and compression of DNNs.
  
  


• Improve DNN architectures using ML algorithms on NVIDIA GPUs or DLAs.
  
  


• Continuously improve inference latency, accuracy and power consumption of DNNs.
  
  


• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas to improve NVIDIA's automotive DNNs.
  
  

What we need to see:

• MS or PhD degree in computer science, computer vision, computer architecture or related technical field or equivalent experience
  
  


• 5+ years of work experience in software development.
  
  


• 2+ years of experience in developing or using deep learning frameworks (e.g. TensorFlow, Keras, PyTorch, Caffe, ONNX, etc.).
  
  


• Strong Python and/or C/C++ programming skills.
  
  


• Solid technical foundation in CPU and GPU architectures, containers (nvidia-docker), numeric libraries, modular software design.
  
  


• Familiar with state-of-the-art CNN/LSTM architectures
  
  


• Experience with speech recognition AI models and software pipelines for low power edge computers
  
  


• Willing to take action and drive with strong analytical skills.
  
  


• Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.
  
  

Ways to stand out from the crowd:

• Experience with low precision inference, quantization, compression of DNNs.
  
  


• Background with NVIDIA software libraries such as CUDA and TensorRT.
  
  


• Open source project ownership or contribution, healthy GitHub repositories, guiding and/or mentoring experience.
  
  

NVIDIA is leading the way in ground breaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people to help us accelerate the next wave of artificial intelligence.

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.

#deeplearning