We are looking for algorithm and optimization experts to help unlock the potential of our unique spatial compute architecture. In this role, you would develop efficient solutions to the hard graph optimization problems involved in allocating chip resources for neural network inference acceleration. These challenges include graph partitioning, scheduling, and place and route optimization. Additionally, you would develop profiling and visualization tools and collaborate with other teams in identifying performance bottlenecks and conceiving creative solutions.
Requirements
Computer Science, Engineering, or related degree
Preferred Skills & Experience
Masters or PhD in Computer Science, Engineering, or related field