Responsibilities:
Workload Analysis - Analyzing the performance of important workloads, tuning our current software, and proposing improvements for future software.
* Performance modeling and analysis - develop analytical model for target systems and analyze the performance bottleneck. make recommendations to the implementation teams. Working with cross-collaborative teams of deep learning software engineers and hardware architects to develop innovative solutions. Adapting to the constantly evolving AI industry by being agile and excited to contribute across the codebase.
* Pre-silicon and post-silicon performance validation
Qualification
* MS or PhD in relevant discipline (CS, EE, Math) or equivalent experience with 5+ years working experiences
* In-depth knowledge of deep learning models or large language models
* Strong background in computer architecture or AI software stack/compilers
* Strong C/C++ programming and hardware modeling skills
* Strong problem solving and analytical thinking skills
* Performance modeling and analysis background a plus
* GPU programming experience (CUDA) a plus
* LLVM/MLIR development experience a plus
* Good communication and organizational skills
Salary
Competitive
Monthly based
Location
Santa Clara, California, United States
Santa Clara, California, United States