GPU HW Research Engineer; San Diego​/Boxborough

Company

Qualcomm Technologies, Inc.

Engineering Group > GPU ASICS Engineering

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.

• 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).

• Strong understanding of GPU architectures, programming models, and application domains.
• Proficiency with APIs such as OpenCL, CUDA, Vulkan, or Direct3D 12.
• Experience with hardware design flow and basic knowledge of Verilog (or VHDL).
• Exposure to hardware simulation/emulation tools and waveform analysis.
• Basic understanding of GPU memory and cache design hierarchy.
• Solid programming skills in C/C++.
• Familiarity with Python is a strong plus.

• 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.
• Experience with open‑source projects such as llama.cpp, vLLM, or similar frameworks is a big 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.

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Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. 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.