GPU Design Implementation Engineer

Qualcomm

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$195,200–$292,800 / yr
Posted
22 days ago
Freshness
Confirmed live yesterday
Closes
Feb 16, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $205k
This role $244k
$135k most similar roles pay here $310k

This role pays more than 82% of similar roles. Most pay $175,000–$235,750 — the shaded band above. At the midpoint, this role pays about $244k versus about $205k 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 Design Implementation Engineer

The GPU Design Implementation Engineer joins the Adreno GPU team to manage front end implementation design challenges and methodologies. This hands-on role involves integrating and delivering state-of-the-art GPU cores while collaborating with microarchitecture and physical design teams to meet aggressive Power, Performance, and Area targets. The engineer will support execution-driven teams for tape-outs by developing new flows and methods to improve PPA in advanced deep sub-micron technologies. Key responsibilities include RTL synthesis, formal verification, timing analysis, and solving performance bottlenecks. Required technical skills include proficiency with Synopsys Next Generation tools, Conformal LEC, Formality, and PrimeTime, alongside scripting in Tcl, Perl, or Python. The role focuses on the complex domain of GPU micro-architecture and VLSI design for sub-micron technology nodes, specifically addressing challenges inherent in advanced fabrication processes like FINFETs and GAA.

What you'll do

  • Manage front-end implementation design challenges and methodologies for Adreno GPU cores.
  • Implement and deliver state-of-the-art GPU cores while meeting aggressive Power, Performance, and Area (PPA) targets.
  • Support new methodologies and flows to improve PPA during the tape-out process.
  • Perform RTL synthesis and utilize front-end EDA tools like Synopsys PrimeTime and Conformal LEC.
  • Identify and resolve performance bottlenecks through innovative design solutions and micro-architecture improvements.
  • Develop scripts using Tcl, Perl, or Python to support design flows and automation.
  • Execute designs on advanced sub-micron technology nodes including 5nm and 4nm processes.

What we're looking for

  • Bachelor's degree in Electrical/Computer Engineering or related field with 6+ years of engineering experience (or Master's with 5+ years, or PhD with 4+ years).
  • Experience with digital design and RTL synthesis.
  • Experience with front end EDA tools including Synopsys Next Generation tools, Conformal LEC, Formality, and PrimeTime.
  • Strong understanding of CMOS circuit design to improve Power, Performance, and Area (PPA) for complex designs.
  • Solid working knowledge of scripting skills in Tcl, Perl, or Python.
  • Hands-on experience taping out designs in sub-micron technology nodes under 10nm.
  • Experience with physical design implementation (preferred).
  • Knowledge of sub-micron technology process nodes such as 5nm and 4nm (preferred).

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