AI Hardware Performance Modeling for LLMs

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

Benefits offered by this job

Annual bonus

RSU grants

Comprehensive benefits

Job summary

Qualcomm Technologies, Inc. seeks a performance modeling engineer to build and validate platforms for AI workloads on Qualcomm AI hardware.

You will analyze SoC architectures, model memory controllers, and collaborate across hardware and software teams to optimize performance and power efficiency. The role requires strong skills in Python, C/C++, SystemC and TLM2.0, plus experience with AI frameworks such as TensorFlow or PyTorch.

Qualifications

• Bachelor's degree or higher in Computer Science, Engineering, Information Systems, or related field.
• 4+ years of Hardware, Software or Systems Engineering experience.
• Experience with AI workloads and ML architectures is desirable.

Responsibilities

• Build performance modeling platforms and tools for AI/ML workloads.
• Analyze and optimize hardware architecture for AI workloads on Qualcomm AI hardware platforms.
• Collaborate with hardware, system, and software teams to validate performance and power efficiency.

Skills

Python

C/C++

SystemC

TLM2.0

SoC Architecture

AI workloads

TensorFlow

PyTorch

Performance analysis

LLVM/GCC

Education

Bachelor's degree in CS/Engineering

Master's degree in CS/Engineering

PhD in CS/Engineering

Tools

NTC/NoX?

Job description

Qualcomm Technologies, Inc. seeks a performance modeling engineer to build and validate platforms for AI workloads on Qualcomm AI hardware.

You will analyze SoC architectures, model memory controllers, and collaborate across hardware and software teams to optimize performance and power efficiency. The role requires strong skills in Python, C/C++, SystemC and TLM2.0, plus experience with AI frameworks such as TensorFlow or PyTorch.