GPU Analysis Engineer

Company:

Qualcomm Technologies, Inc.

Engineering Group, Engineering Group > GPU ASICS Engineering

Qualcomm is one of the largest fabless design companies in the world providing hardware, software and related services to nearly every mobile device maker and operator in the global wireless marketplace. The Qualcomm Graphics System Team is responsible for the development of end‑to‑end and system‑on‑chip (SOC) architectural solutions for next‑generation graphics processing units (GPUs) and compute devices.

• 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 ray tracing 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.

• 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.

• 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.

$ – $

The above pay scale reflects the broad, minimum to maximum pay range for this job code on the posted location. In addition, Qualcomm offers a competitive annual discretionary bonus program and RSU grants.

Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

If you would like more information about this role, please contact Qualcomm Careers. For accessibility accommodations, email disabili