For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from massive amounts of data - has shown to be deeply effective at solving some of the most complex problems in everyday life.
Engineering Farm Architect is responsible for architecting solution around our large compute cluster to make it work efficiently and improve the user experience for customer as well as engineers supporting the cluster. Much of our software development focuses on eliminating manual work through automation, performance tuning, and growing the efficiency of production systems. Practices such as limiting time spent on reactive operational work, blameless postmortems, and proactive identification of potential outages factor into iterative improvement that is key to product quality and interesting and dynamic day-to-day work. We promote self-direction to work on meaningful projects, while we also strive to build an environment that provides the support and mentorship needed to learn and grow.
What you will be doing:
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