Qualifications
Qualifications Bachelors with or Masters or PhD in Electrical Engineering or Computer Science or Computer Engineering or Physics or Mathematics or a related relevant Engineering discipline Experience working in Machine Learning or AI in one of the following roles Developing deploying models or implementing or performance bench marking AI workloads Prior experience in deployment strategies performance optimization multi node multi GPU scaling big plus Experience in one or more of the following areas Python Tensor Flow Caffe Pytorch MXNet Experience in deploying/ optimizing distributed training on CPU-GPU clusters is a big plus Ability to work in a dynamic environment and ability to think on your feet is required Good presentation communication skills at conferences industry/academia events labs are a plus
The focus of Accelerated Computing Systems and Graphics (AXG) is to accelerate our execution in strategic growth areas of high-performance computing and graphics. AXG is chartered with delivering high performance computing and graphics solutions (IP, Software, Systems), for both integrated and discrete segments across client, enterprise and data center. Our mission is to make zeta-scale computing accessible to every human on the planet by the end of this decade and to entertain, educate and connect billions of people with buttery smooth visual experiences.
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