GPU Research Engineer- AI (San Diego / Boxborough )
Qualcomm · San Diego, CA
About this role
Qualcomm is hiring a mid-level AI Research Scientist in the machine learning function based in San Diego, CA. The posting calls out experience with Python, C, CUDA, LLMs. Compensation is listed at $161,800–$242,600 per year.
- Role
- AI Research Scientist
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Location
- San Diego, CA
- Posted
- Dec 3, 2025
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Job description
from Qualcomm careers##
Company:
Qualcomm Technologies, Inc.
## Job Area:
Engineering Group, Engineering Group > GPU ASICS Engineering
General Summary:
Qualcomm’s GPU Research Team is seeking innovative GPU architects to advance state-of-the-art capabilities in Artificial Intelligence (AI), Machine Learning (ML), and General-Purpose GPU (GPGPU) computing. This is a unique opportunity to design next-generation GPU architectures that power everything from mobile devices to Windows on Snapdragon (WoS) compute platforms and large-scale data center GPUs.
This team is open to location Boxborough as well.
What You’ll Do
* Collaborate with other GPU architects to design new hardware features and enhance existing GPU architectures for accelerating GPGPU, ML, and AI workloads.
* Develop architectural solutions for diverse platforms, including mobile, WoS, and data center GPUs.
* Work closely with software teams, hardware design teams, standardization bodies, and internal/external partners to deliver cutting-edge solutions.
* Participate in open-source GPGPU/ML/AI projects and contribute to industry-leading initiatives.
* Influence the evolution of GPU capabilities for advanced use cases such as large language models (LLMs) and large vision models(LVMs).
Required Skills:
* Strong understanding of GPU architectures, programming models, and application domains.
* Proficiency with APIs such as OpenCL, CUDA, Vulkan, or Direct3D 12.
* Solid programming skills in C/C++.
* Familiarity with Python is a strong plus.