GPU Research Architect for AI/ML & Next-Gen GPUs

Qualcomm; San Diego (CA); On-site; USD 170,000 - 254,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking innovative GPU architects to advance AI, ML, and GPGPU computing across mobile, WoS, and data center platforms. The role involves collaborating with multiple teams to design hardware features and contribute to open-source projects.

The team is open to Boxborough location as well, with a broad scope across research and implementation of next‑gen GPU capabilities for AI acceleration.

Qualifications

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field with 4+ years in software/hardware/systems engineering.
• Master's degree in same fields with 3+ years experience or PhD with 2+ years experience.

Responsibilities

• Collaborate with GPU architects to design new hardware features and enhance existing GPU architectures for GPGPU, ML, and AI workloads.
• Develop architectural solutions for mobile, WoS, and data center GPUs.
• Work with software/hardware teams, standard bodies, and partners to deliver cutting-edge solutions.
• Contribute to open-source GPGPU/ML/AI projects and initiatives.
• Influence GPU capabilities for LLMs and LVMs.

Skills

GPU architectures

CUDA/OpenCL

C/C++

Python

AI/ML workloads

Education

Bachelor's degree in CS/EE or related

Master's degree preferred

PhD in CS/EE or related

Tools

OpenCL

CUDA

Vulkan

Direct3D 12

Job description

Qualcomm Technologies, Inc. is seeking innovative GPU architects to advance AI, ML, and GPGPU computing across mobile, WoS, and data center platforms. The role involves collaborating with multiple teams to design hardware features and contribute to open-source projects.

The team is open to Boxborough location as well, with a broad scope across research and implementation of next‑gen GPU capabilities for AI acceleration.