Qualcomm · 2 hours ago
GPU Research Engineer- AI (San Diego / Boxborough )
San Diego, CA
Full-time
Hybrid
Mid, Senior Level
$162K/yr - $243K/yr
3+ years expQualcomm Technologies, Inc. is seeking innovative GPU architects to advance capabilities in Artificial Intelligence, Machine Learning, and General-Purpose GPU computing. The role involves designing next-generation GPU architectures for various platforms and collaborating with teams to deliver cutting-edge solutions.
Artificial Intelligence (AI)Generative AISoftwareTelecommunicationsWireless
Responsibilities
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)
Qualification
Required
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
Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience
Preferred
Hands-on experience in development, debugging, and optimization of CUDA and OpenCL kernels, as well as GPU compute shaders
Deep understanding of quantization techniques and data types for large language models (LLMs) and large vision models (LVMs)
Experience designing GPU hardware features for ML/AI acceleration
Contributions to well-known open-source projects with a proven track record
Experience with open-source projects such as llama.cpp, vLLM, or similar frameworks is a big plus
Benefits
Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package
Company
Qualcomm
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices.
10001+ employees
H1B Sponsorship
Qualcomm has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2013)
2024 (1910)
2023 (3216)
2022 (2885)
2021 (2104)
2020 (1181)
Funding
Current Stage
Public CompanyTotal Funding
$3.5M1991-12-20IPO
1988-01-01Undisclosed· $3.5M
Leadership Team
Cristiano Amon
President and Chief Executive Officer
I
Isaac Eteminan
CEO
Recent News
2025-12-31
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2025-12-30
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