GPU Implementation Engineer

Qualcomm

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
Austin, TXSan Diego, CA
Salary
$161,800–$242,600 / yr
Posted
32 days ago
Freshness
Confirmed live 2 days ago
Closes
Feb 6, 2027
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k
This role $202k
$151k most similar roles pay here $254k

This role pays less than 51% of similar roles. Most pay $177,250–$239,400 — the shaded band above. At the midpoint, this role pays about $202k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 623 open roles on FindRole.

Listed pay typically runs $148,300–$222,500 across 603 roles with salary data.

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At a glance

TL;DR · GPU Implementation Engineer

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The GPU Implementation Engineer joins the Adreno GPU team to manage all aspects of power estimation, implementation, verification, and minimization while developing associated methodologies and flows. This role focuses on delivering high-performance GPU cores optimized for performance, power, and area through tasks such as technology exploration, thermal analysis, and RTL and synthesis-based power optimization. The candidate will work on SoC design implementation, semi-custom design flows, and modeling to solve complex hardware challenges. Required technical skills include experience with Power Artist and PrimetimePX tools, knowledge of clock gating, power gating, multi VT design, and System Verilog RTL. Additionally, the role requires proficiency in Linux scripting using TCL or Python/Perl, along with familiarity with Synthesis, Static Timing Analysis, and Formal Verification to ensure robust hardware designs for next-generation mobile and computing technologies.

Skills

Power Analysis RTL Synthesis System Verilog Static Timing Analysis Formal Verification TCL Python Perl Linux Power Artist PrimetimePX Clock Gating Power Gating Multi VT Design SoC Design Thermal Analysis

What you'll do

  • Manage all aspects of power estimation, implementation, verification, and minimization for Adreno GPU cores.
  • Develop methodologies and flows for power analysis and optimization.
  • Perform RTL and synthesis-based power optimization to improve performance and area.
  • Conduct thermal analysis and optimization for high-performance GPU designs.
  • Model and optimize the performance, power, and area of GPU components.
  • Implement SoC design methodologies and semi-custom design flows.
  • Analyze power consumption across specific use cases to ensure optimal efficiency.

What we're looking for

  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
  • Master's degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
  • 4+ years of experience in Software, Hardware, or Systems Engineering with a Bachelor's degree.
  • 3+ years of experience in Software, Hardware, or Systems Engineering with a Master's degree.
  • 2+ years of experience in Software, Hardware, or Systems Engineering with a PhD.
  • 4+ years of relevant GPU experience.
  • 2+ years of experience in a role requiring interaction with senior leadership.
  • Proficiency in power analysis flows (Power Artist, PrimetimePX), RTL/Synthesis optimization, and System Verilog.

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