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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 Engineer is responsible for architecting solutions around our large compute cluster to make it work efficiently and improve the user experience for customers as well as engineers supporting the cluster. Much of our SW engineering work 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.
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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.
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