GPU Implementation Engineer(Austin & San Diego)
Qualcomm
At a glance
AI generatedThe Design Implementation Engineer role at Qualcomm's Adreno GPU team involves managing front-end implementation design challenges and methodologies to deliver state-of-the-art GPU cores. This hands-on position requires close collaboration with microarchitecture and physical design teams to meet aggressive Power, Performance, and Area (PPA) targets. Responsibilities include integrating new methodologies, supporting execution-driven teams for tape-outs, and leveraging EDA tools like Synopsys Next Generation, Conformal LEC, Formality, and PrimeTime. The ideal candidate has a strong background in ASIC design flow, scripting skills with Tcl, Perl, or Python, and experience with sub-micron technology nodes such as 5nm and below. Knowledge of GPU micro-architecture and VLSI design is essential, along with the ability to innovate and solve complex problems independently while working effectively in a team environment.
Skills
What you'll do
What we're looking for
Market check
This $133,600–$200,400 range sits above 22% of similar postings on FindRole.
Peer median band
$161,200–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$175,000–$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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