AI Hardware Performance Modeling Engineer for LLMs

Qualcomm; San Diego (CA); On-site; USD 162,000 - 243,000; Full time

Job summary

Qualcomm Technologies, Inc. seeks a highly skilled engineer to build performance modeling platforms for AI workloads on Qualcomm’s SoC hardware.

You will analyze and validate LLMs and AI workloads for cloud data server applications, collaborating with hardware and system engineers across multiple internal teams. You will design, develop, and test performance modeling tools to analyze and optimize AI workloads, aiming to improve performance and power efficiency on all devices, guiding

Qualifications

• Bachelor's degree in CS/Engineering/IS and 4+ years of Hardware/Software/Systems experience.
• Master's degree in CS/Engineering/IS and 3+ years of Hardware/Software/Systems experience.
• PhD in CS/Engineering/IS and 2+ years of Hardware/Software/Systems experience.

Skills

Python

C/C++

SystemC

TLM2.0

DDR memory

NOC design

AI workloads

TensorFlow

PyTorch

Performance analysis

RTL design

LLVM

GCC

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Master's degree in Computer Science, Engineering, Information Systems, or related field

PhD in Computer Science, Engineering, Information Systems, or related field

Tools

LLVM

GCC

Job description

Qualcomm Technologies, Inc. seeks a highly skilled engineer to build performance modeling platforms for AI workloads on Qualcomm’s SoC hardware.

You will analyze and validate LLMs and AI workloads for cloud data server applications, collaborating with hardware and system engineers across multiple internal teams. You will design, develop, and test performance modeling tools to analyze and optimize AI workloads, aiming to improve performance and power efficiency on all devices, guiding