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# GPU Performance Analysis Engineer

- **Company:** Qualcomm
- **Location:** San Diego, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, C++ (Programming Language), Computer Engineering, Software Debugging, Python (Programming Language), Software Engineering, Graphics Processing Unit (GPU), Information Technology, Power Analysis (Cryptography)
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_1c1e78b9d83bbdedffb1e4f5d9762a53

## About the Role

* Understanding of GPU architecture.
 * Rendering knowledge and the ability to write rendering applications with Vulkan and other graphics APIs.
 * Strong knowledge of Python and C++.
 * Performance analysis experience.
 * Sharp analytical skillset.
 * Fluency in usage of latest AI tools for coding/debugging to solve system level problems.
 * Minimum of Bachelor degree required.

Preferred Skills:

 * Masters degree or PhD.
 * 3-7 years of relevant experience.
 * Android experience.
 * GFXR capture/playback for Vulkan. Render doc capture and interpretation of the data.
 * Experience in competitive performance for GPU-centric use cases.
 * Post-silicon debugging experience., * 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.
 * 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.
 * 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.

## Description

* In this role, your work will have critical impact in influencing next-generation GPUs to be more efficient and to maintain a competitive edge in Qualcomm Graphics solutions.
 * You will be contributing to performance analysis at GPU level for graphics and raytracing workloads such as benchmark games by exploiting different software/hardware/architectural knobs to find opportunities to improve performance.
 * Be engaged and contribute to competitive performance/power analysis for popular benchmark games and explain gaps with reasonable evidence that 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.