- Location
- Santa Clara, CA,US, US · Redmond, WA,US, US
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Source
- Eightfold
Description
Develop innovative architectures to extend the state of the art in deep learning performance and efficiency Analyze performance, cost and power trade-offs by developing analytical models, simulators and test suites Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications Develop, analyze, and harness groundbreaking Deep Learning frameworks, libraries, and compilers Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW Experience with performance modeling, architecture simulation, profiling, and analysis Experience with relevant libraries, compilers, and languages - CUDNN, CUBLAS, CUTLASS, MLIR, Triton, CUDA, OpenCL Experience with the architecture of or workload analysis on other DL accelerators
