GPU Performance Analysis Engineer
Qualcomm · San Diego, United States · 8d ago
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > GPU ASICS EngineeringGeneral 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 of 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 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 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
This role requires understanding of gpu bottlenecks. This also requires understanding how rendering for games work (their graphics pipelines) as well as to be able to write small rendering applications using the gpu using graphics APIs such as vulkan and hlsl/glsl/spirv. For this role you need to be able to analyze performance silicon measurements in Android.
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 problem
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-si 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.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.
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Pay range and Other Compensation & Benefits:
$203,700.00 - $305,500.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.