GPU Architecture Research Engineer – AI/ML & GPGPU

Qualcomm; Boxborough (MA); On-site; USD 161,800 - 242,600; Full time

Job summary

Qualcomm is seeking innovative GPU architects in Boxborough, Massachusetts, to design cutting-edge GPU architectures. You will advance AI and ML capabilities across diverse platforms like mobile and data center GPUs.

The ideal candidate has robust experience in GPU technology, familiarity with programming models, and a strong educational background in engineering. The role offers a competitive salary, ranging from $161,800 to $242,600.

Qualifications

• Bachelor’s degree plus 4+ years of relevant experience.
• Master’s degree plus 3+ years of relevant experience.
• PhD plus 2+ years of relevant experience.

Responsibilities

• Collaborate on GPU architectures for AI and ML workloads.
• Develop architectural solutions for diverse GPU platforms.
• Work with teams to deliver advanced GPU solutions.
• Participate in open-source projects related to GPGPU.

Skills

Understanding of GPU architectures

Proficiency with OpenCL, CUDA, Vulkan

Programming skills in C/C++

Familiarity with Python

Education

Bachelor’s degree in Computer Engineering, Computer Science, or related field

Master’s degree in relevant field

PhD in relevant field

Tools

APIs such as OpenCL, CUDA, Vulkan

Hardware simulation/emulation tools

Job description

Qualcomm is seeking innovative GPU architects in Boxborough, Massachusetts, to design cutting-edge GPU architectures. You will advance AI and ML capabilities across diverse platforms like mobile and data center GPUs.

The ideal candidate has robust experience in GPU technology, familiarity with programming models, and a strong educational background in engineering. The role offers a competitive salary, ranging from $161,800 to $242,600.