Qualcomm
GPU Performance Analysis Engineer
$204K–$306K
San Diego, California · On-site · Full-time · Posted Sep 17, 2026
- Experience
- Bachelor's: 6+ years; master's: 5+ years; PhD: 4+ years of relevant engineering or related work experience. Preferred Skills also state 3–7 years of relevant experience.
- Education
- Bachelor's, master's, or PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
About the job
Analyze GPU performance on graphics and ray-tracing workloads, identify performance and power gaps, and help guide GPU architecture, hardware, and software improvements.
What you'll do
- Analyze GPU performance and power on benchmarks and games, using software, hardware, and architectural controls to find improvement opportunities.
- Investigate competitive performance gaps and provide evidence to inform next-generation architecture, hardware, and software enhancements.
- Develop tools for debug and validation, and support pre-silicon workload enablement.
What they ask for
- Understanding of GPU architecture and rendering pipelines, with ability to write rendering applications using Vulkan and other graphics APIs.
- Strong knowledge of Python and C++; performance analysis experience and strong analytical skills.
- Fluency in using AI tools for coding and debugging system-level problems.
- Bachelor's, master's, or PhD in a related field, with the corresponding minimum work experience stated below.
Nice to have
- Android experience; GFXR capture/playback for Vulkan and RenderDoc capture and data interpretation.
- Competitive GPU performance experience or post-silicon debugging experience.
Pay
$203,700.00 - $305,500.00 USD (pay range; salary)
Tools
Python, C++, Vulkan, HLSL, GLSL, SPIR-V, Android, RenderDoc
AI focus
Use the latest AI tools for coding and debugging to solve system-level problems.
Model-written summary · the original posting is authoritative