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Job Area:
Engineering Group, Engineering Group > GPU ASICS Engineering
Responsibilities:
In this role, your work will have critical impact in influencing next generation GPUs to be more enhanced/efficient and to maintain competitive edge in Qualcomm Graphics solution.
You will be contributing to post-si performance and power efficiency analysis/validation at system level for the Windows graphics workloads such as benchmark, games, etc.
Accumulate and analyze competitive perf and power data for popular benchmark/games to identify/explain with reasonable evidence to explore architecture enhancement opportunities.
Debug/validate/exploit power optimization opportunities in SW for graphics use cases.
Work closely with HW/SW designers and architect to explore the opportunities identified in post-si analysis and find solution to integrate them in next generation SW/HW architecture.
Develop tools for efficient, streamlined and scalable debug/validation tasks.
Participate, contribute in next generation model improvement by providing post-si learning.
This role requires understanding of power concepts, system level architecture and micro-architecture details; be able to measure and analyze performance and power on internal and external compute devices, have understanding of different SOC components (such as CPU, GPU, DDR, path-to-DDR).
The candidate must have:
Understanding of SOC architecture and common SoC hardware blocks (Display, Graphics, CPUs, BUS, etc.)
Experience in competitive performance and power analysis for CPU or GPU centric use cases understanding of power concepts at system architecture level as well as micro-architecture level Windows device post-si debugging experience.
Strong knowledge of python scripting
Min 5 years on job experience
Minimum of Bachelor degree required
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.
Preferred to have:
Masters degree or PhD
10+ years of relevant experience SOC level power analysis as well as product level power analysis
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range:
$182,500.00 - $273,500.00
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