AI TLM Performance Modeling
Core
Building performance modeling platforms and tools to analyze, validate, and optimize LLMs and AI workloads for Qualcomm's SoC hardware and cloud data server applications.
Role type
Senior IC machine learning performance modeling engineer
Builds
Performance modeling platforms and tools for AI hardware platforms
Domain
Semiconductor hardware engineering + Machine Learning
Deliverable
production ML models
Required skills
Python, C/C++, SystemC, TLM2.0, SoC architecture, DDR memory controller, NOC design/modeling, LLMs and ML networks, machine learning hardware accelerators, TensorFlow, PyTorch, performance measurement and analysis, computer architecture, DSP architecture, hardware RTL design/modeling/verification, compiler frameworks (LLVM, GCC)
Preferred skills
null
Technologies
Python, C/C++, SystemC, TLM2.0, TensorFlow, PyTorch, LLVM, GCC
Responsibilities
Design, develop, and test performance modeling platforms and tools; analyze and optimize AI workloads to improve performance and power efficiency; find optimal hardware architecture and tradeoffs; collaborate with hardware and system engineers
Seniority
Senior, hands-on IC
