AI TLM Performance Modeling
Qualcomm · San Diego, United States · 3d ago
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral 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.OR
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.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
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Pay range and Other Compensation & Benefits:
$162,000.00 - $243,000.00The 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.