GPU Performance Analysis Engineer

Qualcomm

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$203,700–$305,500 / yr
Posted
40 days ago
Freshness
Confirmed live yesterday
Closes
Mar 16, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $213k
This role $255k
$134k $324k
below market most similar roles pay here above market

This role pays more than 80% of similar roles. Most pay $187,850–$238,875 — the blue band above. At the midpoint, this role pays about $255k versus about $213k 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 Performance Analysis Engineer

The GPU Performance Analysis Engineer joins the Graphics System Team to influence next generation graphics processing units and compute devices. You will perform performance analysis at the GPU level for graphics and raytracing workloads, such as benchmarks and games, by exploiting various software, hardware, and architectural knobs to identify performance improvements. Key responsibilities include conducting competitive performance and power analysis, developing scalable debug and validation tools, and supporting presilicon workload enablement. You must possess a deep understanding of GPU architecture, rendering pipelines, and bottlenecks. Required skills include proficiency in Python, C++, and graphics APIs like Vulkan, HLSL, and SPIR-V. You will also utilize AI tools for debugging and analyze performance silicon measurements in Android to solve complex system-level problems.

What you'll do

  • Perform performance analysis at the GPU level for graphics and raytracing workloads.
  • Identify hardware and software enhancement opportunities by analyzing competitive performance and power gaps.
  • Develop tools for streamlined and scalable debug and validation tasks.
  • Support presilicon workload enablement for analyzed games and workloads.
  • Write rendering applications using graphics APIs such as Vulkan and HLSL/GLSL/SPIR-V.
  • Analyze performance silicon measurements within the Android environment.
  • Use GFXR and RenderDoc to capture and interpret data for Vulkan applications.

What we're looking for

  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 6+ years of relevant engineering experience.
  • Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 5+ years of relevant engineering experience.
  • PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of relevant engineering experience.
  • Understanding of GPU architecture and rendering pipelines.
  • Ability to write rendering applications using Vulkan and HLSL/GLSL/SPIR-V.
  • Strong knowledge of Python and C++.
  • Performance analysis experience and sharp analytical skillset.
  • Fluency in using latest AI tools for coding and debugging.
  • Android experience (preferred).
  • 3-7 years of relevant experience (preferred).
  • GFXR capture/playback for Vulkan and Render Doc data interpretation (preferred).
  • Experience in competitive performance for GPU centric use cases (preferred).
  • Post-si debugging experience (preferred).

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