Deep Learning System Architect

Would you like to work with the world’s first class processor architect and deep learning experts? Do you want to be the part of Artificial Intelligence Revolution?

NVIDIA is developing processor and system architectures that accelerate machine learning, automotive and high-performance computing applications. We are looking for an expert deep learning system performance architect to join our deep learning modelling, projections, and competitive analysis effort. In this position, you will have the chance to define the future deep learning processor and software architecture, and make the significant impact in a dynamic technology focused company.

What you’ll be doing:

• Prototype state of the art deep learning and data analytics algorithms and applications. Analyze trade-offs in performance, cost and power.
• Develop analytical models for the state of the art deep learning networks and algorithm to innovate processor and system architectures design for performance and efficiency.
• Specify hardware/software configurations and metrics to analyze performance, power, accuracy and resiliency in existing and future uni-processor and multiprocessor configurations.
• Collaborate across the company to guide the direction of next-gen deep learning HW/SW by working with architecture, software, and product teams.

What we need to see:

• Masters, or PhDs of computer science, electronics engineering, and relevant or equivalent majors are welcome.
• Your deep knowledge of computer architecture, performance modelling and performance analysis techniques will be a nice fit to this position.
• Strong software skills with C++(or similar), Python, databases, and data visualization tools. Familiarity with CUDA is a plus.
• Understand the basics of DNN, have kept up with state of art in some area of DNN research, and familiar with deep learning frameworks: Caffe, TensorFlow, Torch etc., and acceleration libraries.

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.