Staff GPU Engineer

Qualcomm

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $169,178–$242,600 / yr
Posted: 51 days ago
Freshness: Confirmed live yesterday
Closes: Mar 16, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $220k

This role $206k

$147k $292k

below market most similar roles pay here above market

This role pays less than 63% of similar roles. Most pay $196,750–$243,125 — the blue band above. At the midpoint, this role pays about $206k versus about $220k 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 575 open roles on FindRole.

Listed pay typically runs $147,900–$218,400 across 551 roles with salary data.

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At a glance

TL;DR · Staff GPU Engineer

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The Staff GPU Engineer joins the ASICS Engineering group to lead the architecture, design, implementation, verification, and optimization of GPU cores. This role involves synthesizing ambiguous requirements to build functional modeling simulations while developing software, tools, and tests for diverse graphics workloads. The engineer will run benchmarks for various applications and perform both pre- and post-silicon verification to ensure that performance and power goals are met. Key responsibilities include contributing to design reviews, communicating development plans, and managing complex technical tasks. The position requires expertise in electrical engineering, computer engineering, or computer science principles to solve hardware performance challenges. The work focuses on the technical execution of GPU core functionality, ensuring correctness and efficiency across various graphics applications through rigorous testing and architectural planning.

Skills

Post-silicon Verification Functional Modeling Simulation Graphics Workloads

What you'll do

Architect, design, implement, and optimize the performance and power of GPU cores.
Build functional modeling simulations for various graphics workloads.
Develop software, tools, and tests to evaluate graphics performance.
Run benchmarks for different applications to measure system capabilities.
Perform pre-silicon and post-silicon verification to ensure hardware correctness.
Verify that all designs meet specific performance and power goals.
Communicate and implement a comprehensive development plan for the project.

What we're looking for

Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
Three years of experience in a related occupation.
Experience architecting, designing, implementing, verifying, and optimizing performance and power of GPU cores.
Ability to build functional modeling simulations and develop software, tools, and tests for graphics workloads.
Experience running benchmarks for different applications and performing pre- and post-silicon verification.
Ability to communicate and implement a development plan and contribute to design reviews and project meetings.