Hiring.Camp

GPU Performance Analysis Engineer

Qualcomm

·

Jan 12, 2026

Location
San Diego, CA,US, US
Type
Full-time
Department
Engineering
Education
PhD
Source
Eightfold

Description

You will be contributing to performance analysis at GPU level for Graphics and Raytracing workloads such as benchmark/games by exploiting different SW/HW/Architectural knobs to find opportunities to improve perf. Be engaged and contribute to competitive perf/power analysis for popular benchmark/games and to identify or be able to explain the gaps with reasonable evidence which could lead to next generation architecture/HW/SW enhancement opportunities. Develop tools for efficient, streamlined and scalable debug/validation tasks. Support presilicon workload enablement efforts for the analyzed workloads and games Understanding of GPU architecture Rendering knowledge and the ability to write rendering applications with vulkan and other graphics APIs Fluency in usage of latest AI tools for coding/debugging to solve system level problem Minimum of Bachelor degree required Masters degree or PhD GFXR capture/playback for vulkan. Render doc capture and interpretation of the data. Experience in competitive performance for GPU centric use cases Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 5+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

Skills

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