GPU Research Engineer

Qualcomm

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$133,600–$200,400 / yr
Posted
23 days ago
Freshness
Confirmed live yesterday
Closes
Feb 15, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $167k
$119k most similar roles pay here $267k

This role pays less than 82% of similar roles. Most pay $177,250–$236,487 — the shaded band above. At the midpoint, this role pays about $167k versus about $207k 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 Research Engineer

As a GPU Research Engineer on the GPU Research Team, you will help advance state-of-the-art 3D GPU capabilities in Ray Tracing, Neural Rendering, Geometry Processing, and Machine Learning. You will collaborate with software and hardware teams to discover customer requirements, develop Feature Development Specifications, create simulators to validate functional and performance behaviors, and contribute to standardization efforts. The role focuses on designing new architectural features for the Adreno GPU to improve gaming, productivity applications, and machine learning capabilities. Required expertise includes a strong understanding of GPU architecture, programming models, and applications. You must possess working knowledge of C/C++ and familiarity with APIs such as Vulkan, D3D, OpenGL, or OpenCL. Python programming skills are also considered a significant plus for this role within the GPU ASICS Engineering group.

What you'll do

  • Identify customer requirements for next-generation GPU architectural features.
  • Develop comprehensive Feature Development Specifications for new hardware functionalities.
  • Create simulators to explore and validate functional and performance behaviors of the architecture.
  • Educate internal implementation teams on new designs and technical specifications.
  • Contribute to industry standardization efforts for GPU technologies.
  • Design advanced features for Ray Tracing, Neural Rendering, Geometry Processing, and Machine Learning.

What we're looking for

  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of relevant experience.
  • Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of relevant experience.
  • PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
  • Strong understanding of GPU architecture, programming models, and applications.
  • Familiarity with APIs such as Vulkan, D3D, OpenGL, and/or OpenCL.
  • Working knowledge of C/C++ is required.
  • Python programming skills are a strong plus (preferred).

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