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
Show the full description
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.
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 disability-accomodations@qualcomm.com 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).
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EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
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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.
