GPU Research Engineer- AI (San Diego / Boxborough )
Qualcomm
At a glance
AI generatedQualcomm’s GPU Research Team at Qualcomm Technologies, Inc., seeks innovative GPU architects to design next-generation GPU architectures for accelerating AI, ML, and GPGPU workloads across mobile devices, Windows on Snapdragon (WoS) compute platforms, and large-scale data center GPUs. Day-to-day responsibilities include collaborating with software teams, hardware designers, standardization bodies, and partners to develop architectural solutions for diverse platforms while participating in open-source projects like llama.cpp and vLLM. Candidates should have a strong grasp of GPU architectures, proficiency with APIs such as OpenCL, CUDA, Vulkan, or Direct3D 12, experience with hardware design flow including Verilog, and solid programming skills in C/C++ with familiarity in Python. Preferred candidates also possess hands-on experience with CUDA and OpenCL kernel development, quantization techniques for LLMs and LVMs, and GPU compute shader optimization.
Skills
What you'll do
What we're looking for
Market check
This $161,800–$242,600 range sits above 52% of similar postings on FindRole.
Peer median band
$161,800–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$167,000–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 569 open roles on FindRole.
Listed pay typically runs $148,300–$224,400 across 536 roles with salary data.
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