GPU Research Engineer
Qualcomm
At a glance
AI generatedJoin Qualcomm Technologies as a Senior GPU Performance Analyst where you will work closely with design, architecture, and modeling teams to conduct pre-silicon performance analysis on cutting-edge GPU designs using advanced benchmarks. Your daily tasks include identifying pipeline bottlenecks, proposing hardware and software optimizations for PPA improvement, and contributing to the virtual GPU bring-up process in an emulation system. You will leverage tools such as simulation acceleration, emulation, and big-data analytics while implementing data analytics with Python. Ideal candidates have 5+ years of experience in GPU architectures, RTL design, and SoC architecture, along with strong skills in System Verilog, C/C++, and Python for performance analysis and bottleneck resolution.
Skills
What you'll do
What we're looking for
Market check
This $195,200–$292,800 range sits above 87% of similar postings on FindRole.
Peer median band
$161,800–$242,600
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$180,775–$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 564 open roles on FindRole.
Listed pay typically runs $148,300–$224,400 across 531 roles with salary data.
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