GPU Research Engineer

Qualcomm

Confirmed live today Trusted

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$141,300–$211,900 / yr
Posted
40 days ago
Freshness
Confirmed live today
Closes
Mar 16, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $214k
This role $177k
$127k $278k
below market most similar roles pay here above market

This role pays less than 83% of similar roles. Most pay $188,800–$238,875 — the blue band above. At the midpoint, this role pays about $177k versus about $214k 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–$221,900 across 550 roles with salary data.

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At a glance

TL;DR · GPU Research Engineer

The GPU Research Engineer joins the GPU Research Team to advance state-of-the-art 3D GPU capabilities in Ray Tracing, Neural Rendering, Geometry Processing, and Machine Learning. This role involves collaborating with software and hardware design teams to develop and design new GPU architectural features. Daily responsibilities include discovering customer requirements, creating Feature Development Specifications, building simulators to validate functional and performance behaviors, and contributing to standardization efforts. The position requires a strong understanding of GPU architecture, programming models, and applications. Candidates must possess working knowledge of C/C++ and familiarity with APIs such as Vulkan, D3D, OpenGL, and OpenCL, with Python skills being a plus. The work focuses on advancing 3D rendering concepts for gaming, productivity applications, and machine learning on mobile and wearable devices.

What you'll do

  • Discover customer requirements for next-generation GPU architectural features.
  • Author complete Feature Development Specifications for new hardware functionality.
  • Create simulators to explore and validate functional and performance behaviors.
  • Educate internal implementation teams on new architectural designs.
  • Contribute to industry standardization efforts for GPU technologies.
  • Design new GPU architectural features for Ray Tracing, Neural Rendering, 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 work experience.
  • Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of relevant work 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++ programming.
  • Python programming skills (preferred).

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