Qualcomm
Principal Engineer - Memory-Centric AI Compute Architect
Qualcomm, San Diego, California, United States, 92189
Principal Engineer - Memory-Centric AI Compute Architect
Join to apply for the
Principal Engineer - Memory-Centric AI Compute Architect
role at
Qualcomm
Company Qualcomm Technologies, Inc.
Job Area Engineering Group, Engineering Group > ASICS Engineering
General Summary Qualcomm is a company of inventors that unlocked edge AI and connected computing ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. This is the Invention Age - and this is where you come in.
Minimum Qualifications
Bachelor's degree in Science, Engineering, or related field and 8+ years of ASIC design, verification, validation, integration, or related work experience.
Master's degree in Science, Engineering, or related field and 7+ years of ASIC design, verification, validation, integration, or related work experience.
PhD in Science, Engineering, or related field and 6+ years of ASIC design, verification, validation, integration, or related work experience.
Job Overview The Qualcomm Memory System/Technology Team in Process & Package Solutions Group has an opening in the areas of AI workload mapping to the memory‑centric compute systems for data center, mobile, compute, and XR. The candidate will develop new algorithms and architectures that move computation closer to or directly into memory to overcome the performance bottleneck of data transfer between processors and memory. The candidate should have good knowledge of bus and compute fabrics as well as state‑of‑the‑art AI models such as LLM, transformers, CNN, etc. The role involves creating and optimizing AI models for memory‑centric systems by designing algorithms and hardware modules that improve speed, power efficiency, and scalability of those AI workloads, while working across multiple organizations including process and packaging, AI and compute architects, memory controller, global SoC, and emulation teams. Providing timely feedback and updating architecture and design trade‑offs to the team is essential.
Responsibilities
Architect, design, and implement scalable AI/ML computing infrastructure for data center, compute, and mobile.
Develop and optimize AI algorithms for the memory‑centric compute systems for better performance and power.
Co‑optimize compute, memory, and connect fabric allocation for improved scale‑up and scale‑out metrics.
Develop and validate the algorithms using Python, C, etc for improved throughput, latency, power, and energy.
Use state‑of‑the‑art modeling tools and numerical analysis techniques for performance modeling.
Ideal Candidate Will Have
Experience in computer and memory architectures.
Good knowledge of AI models such as CNNs, RNNs, transformers, LLM, multi‑modal AI, and AI agents.
Good knowledge of dataflow, memory and bus protocols.
Knowledge of tensor cores, near‑memory computing, and high‑bandwidth memories such as HBM.
Knowledge in memory controller design.
Proficiency in use of performance modeling tools.
Good knowledge of memory architecture, scalar processors, and 2.5D/3D integration.
Master's or Ph.D. in Electrical Engineering, Computer Science, and a related field.
Preferred Qualifications
Familiar with in/near‑memory computing.
Experience in programming language (C/C++/Python) or scripting language (Perl/Python).
Familiar with the DRAM datasheets and IO interfaces.
Soft Skills
Good communication skills.
Strong teamwork.
Strong problem‑solving and analytical skills.
Ability to work independently and as part of a team.
Pay Range And Other Compensation & Benefits $192,000.00 - $288,000.00
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, 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.
EEO Employer Statement 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. Qualifications about Accessibility and Accommodations We are committed to providing an accessible process for individuals with disabilities. If you need an accommodation during the application/hiring process, you may e‑mail disability‑accommodations@qualcomm.com or call Qualcomm's toll‑free number. Upon request, Qualcomm will provide reasonable accommodations to support participation in the hiring process. (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).
#J-18808-Ljbffr
Principal Engineer - Memory-Centric AI Compute Architect
role at
Qualcomm
Company Qualcomm Technologies, Inc.
Job Area Engineering Group, Engineering Group > ASICS Engineering
General Summary Qualcomm is a company of inventors that unlocked edge AI and connected computing ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. This is the Invention Age - and this is where you come in.
Minimum Qualifications
Bachelor's degree in Science, Engineering, or related field and 8+ years of ASIC design, verification, validation, integration, or related work experience.
Master's degree in Science, Engineering, or related field and 7+ years of ASIC design, verification, validation, integration, or related work experience.
PhD in Science, Engineering, or related field and 6+ years of ASIC design, verification, validation, integration, or related work experience.
Job Overview The Qualcomm Memory System/Technology Team in Process & Package Solutions Group has an opening in the areas of AI workload mapping to the memory‑centric compute systems for data center, mobile, compute, and XR. The candidate will develop new algorithms and architectures that move computation closer to or directly into memory to overcome the performance bottleneck of data transfer between processors and memory. The candidate should have good knowledge of bus and compute fabrics as well as state‑of‑the‑art AI models such as LLM, transformers, CNN, etc. The role involves creating and optimizing AI models for memory‑centric systems by designing algorithms and hardware modules that improve speed, power efficiency, and scalability of those AI workloads, while working across multiple organizations including process and packaging, AI and compute architects, memory controller, global SoC, and emulation teams. Providing timely feedback and updating architecture and design trade‑offs to the team is essential.
Responsibilities
Architect, design, and implement scalable AI/ML computing infrastructure for data center, compute, and mobile.
Develop and optimize AI algorithms for the memory‑centric compute systems for better performance and power.
Co‑optimize compute, memory, and connect fabric allocation for improved scale‑up and scale‑out metrics.
Develop and validate the algorithms using Python, C, etc for improved throughput, latency, power, and energy.
Use state‑of‑the‑art modeling tools and numerical analysis techniques for performance modeling.
Ideal Candidate Will Have
Experience in computer and memory architectures.
Good knowledge of AI models such as CNNs, RNNs, transformers, LLM, multi‑modal AI, and AI agents.
Good knowledge of dataflow, memory and bus protocols.
Knowledge of tensor cores, near‑memory computing, and high‑bandwidth memories such as HBM.
Knowledge in memory controller design.
Proficiency in use of performance modeling tools.
Good knowledge of memory architecture, scalar processors, and 2.5D/3D integration.
Master's or Ph.D. in Electrical Engineering, Computer Science, and a related field.
Preferred Qualifications
Familiar with in/near‑memory computing.
Experience in programming language (C/C++/Python) or scripting language (Perl/Python).
Familiar with the DRAM datasheets and IO interfaces.
Soft Skills
Good communication skills.
Strong teamwork.
Strong problem‑solving and analytical skills.
Ability to work independently and as part of a team.
Pay Range And Other Compensation & Benefits $192,000.00 - $288,000.00
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, 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.
EEO Employer Statement 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. Qualifications about Accessibility and Accommodations We are committed to providing an accessible process for individuals with disabilities. If you need an accommodation during the application/hiring process, you may e‑mail disability‑accommodations@qualcomm.com or call Qualcomm's toll‑free number. Upon request, Qualcomm will provide reasonable accommodations to support participation in the hiring process. (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).
#J-18808-Ljbffr