GPU Performance Analysis Engineer

Qualcomm; San Diego (CA); On-site; USD 195,200 - 292,800; Full time

Benefits offered by this job

Competitive annual discretionary bonus

RSU grants

Job summary

A leading tech company in California is seeking a talented individual to work in GPU architecture. The role involves influencing next-generation GPUs for efficiency and conducting performance analysis on various workloads. Ideal candidates will possess strong knowledge in GPU architecture, Python, and C++, and have experience in performance analysis. The position offers a competitive salary and the chance to work on cutting-edge technology in a collaborative environment.

Qualifications

• Understanding of GPU architecture.
• Rendering knowledge and ability to write rendering applications.
• Strong knowledge of Python and C++.
• Performance analysis experience.
• Sharp analytical skillset.
• Fluency in usage of latest AI tools.

Responsibilities

• Influencing next-generation GPUs to be more efficient.
• Contributing to performance analysis for graphics workloads.
• Engaging in competitive performance/power analysis.
• Developing tools for efficient debugging and validation.
• Supporting presilicon workload enablement.

Job description

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > GPU ASICS Engineering

General Summary:

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.

Responsibilities:

• 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.

Minimum Skills:

• 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.

Minimum Qualifications:

• 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.

Pay range:

$195,200.00 – $292,800.00

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.

EEO Employer:

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.

Contact:

If you would like more information about this role, please contact Qualcomm Careers. For accessibility accommodations, email [e-mail].