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Job Area:
Engineering Group, Engineering Group > Hardware Engineering
Job Summary:
8-14 years of experience in Performance Validation (preferably AI/ML workloads) on complex Qualcomm Chipset/IPs
QDSP team is responsible for delivering high-performance NSP (neural signal processor) cores which are at the heart of Qualcomm's multi-tier SoC roadmap targeted for mobile space.
Qualcomm is the largest fabless design company in the world, generating over $15 Billion in annual revenues from chipsets and royalties from intellectual property. Qualcomm provides hardware, software and related services to nearly every mobile device maker and operator in the global wireless marketplace.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.
Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience.
PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
Job Responsibilities:
In this highly visible and interactive role, your primary responsibility will be to drive performance validation of NSP IP by working with global QDSP design team involving architecture, implementation, post silicon and back-end teams.
Responsible for Running Benchmarks, collecting results and coalescing them, executing experiments for platform characterization and debug, Implementing enhancements to the emulation environment.
Responsible for delivering projections to SOC platforms, Responsible for building infrastructure for performance validation and verify performance of neural signal processor (NSP).
Involves having a deep understanding of processor micro-architecture and triaging performance issues in RTL and simulator.
Skillset/Experience:
8-14 years’ experience in NSP/Processor/ASIC performance correlation
Experience in application performance analysis.
Fundamental understanding of what is important with latest ML trends, understands transformers, quantization, fixed/floating point etc.
Understand the software stack to launch, run, and teardown applications in the Windows, Android, and Auto Space
Understand all the system settings (clock, voltage, thermal, system settings etc.) that can impact the performance of ML applications.
Programming/Scripting Skills — C, C++, Perl, Python, Shell, Make file TCI.
Strong troubleshooting, analytical and debug skills
Should have excellent inter-personal, communication skills and ability to work in a fast-paced exciting environment.
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.
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