Real job — pulled straight from Qualcomm’s careers page · Verified October 1, 2026 · No reposts.
Job description
Qualcomm is hiring a AI Performance Modeling — a full-time, based in San Diego, CA role ($162k–$243k). Apply directly on Qualcomm's careers page below.
AI TLM Performance Modeling
Location: San Diego, California, United States of America
Department: Machine Learning Engineering
Work Location: onsite
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.
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).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
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.
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 - $243,000.00The 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.
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Frequently asked questions
What is the salary for AI Performance Modeling at Qualcomm?
The estimated salary range for AI Performance Modeling at Qualcomm is $162,000 - $243,000 USD per year.
What skills are required for AI Performance Modeling at Qualcomm?
The required skills for AI Performance Modeling at Qualcomm include: Python, C++, LLM, Machine Learning, TensorFlow, PyTorch.
What is the seniority level for AI Performance Modeling at Qualcomm?
AI Performance Modeling at Qualcomm is a Mid Level / Senior / Staff / Principal level position.
How do I apply for AI Performance Modeling at Qualcomm?
You can view the full description and apply for AI Performance Modeling at Qualcomm on EchoJobs: https://echojobs.io/job/qualcomm-ai-tlm-performance-modeling-9tthm.