AI TLM Performance Modeling

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

Company

Qualcomm Technologies, Inc.

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary

You will be involved and participate in building performance modeling platforms and tools for Qualcomm’s SoC hardware aiming for AI /cloud data server applications. These platforms are essential to analyze and validate LLMs and AI workloads for cloud data server applications. In this role, you will work in a dynamic research environment, be part of a multi-disciplinary team of hardware, system engineers collaborating with other internal teams. You will work on performance modeling of Qualcomm’s AI hardware platforms finding optimal hardware architecture, tradeoffs, optimizing LLM frameworks and AI workloads. You will design, develop & test performance modeling platforms and tools for analyzing and optimizing AI workloads to improve the performance and power efficiently on all devices.

Required Skills

• Programing in Python, C/C++, SystemC, TLM2.0
• Experience in SoC architecture, DDR memory controller, NOC design/modeling
• Experience in AI workloads and architectures including LLMs and ML networks
• Experience in architecture for machine learning hardware accelerators
• Experience with TensorFlow, Pytorch
• Hands-on experience with performance measuring, analysis of ML networks
• Familiarity of Computer architecture, DSP architecture and hardware(RTL) design/modeling/verification
• Experience with compiler frameworks such as LLVM or GCC

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [e-mail] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay Range And Other Compensation & Benefits

$162,000.00 - $243,000.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.