Power Modelling Engineer, Staff
Qualcomm · Bengaluru · onsite · Posted 28d ago
Undisclosed8–12 yrsfulltimeSourced from
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About this role
Company: Qualcomm India Private Limited
Job Summary - 8 to 12 years of experience in Front end Power modeling, power estimation and power analysis of complex Qualcomm propriety DSP IP
- DSP design team is responsible for delivering high-performance DSP cores which are at the heart of Qualcomm's multi-tier SoC roadmap targeted for mobile space
- In this highly visible and interactive role, your primary responsibility will be to drive performance verification/correlation of DSP IP by working with global DSP design team involving architecture, implementation, post silicon and back-end teams
- Responsible for analyzing power and performance efficiency across cores/chipsets.
- Responsible for building infrastructure for performance verification and verifying performance of processors
- Work with front end power and backend teams to build power models, estimate power for AI/ML workloads.
- Writing specific targeted tests to measure power and performance of the processor.
- Involves having a deep understanding of processor micro-architecture and triaging performance issues in RTL and simulator
- 8-12 years experience in processor/ASIC power modelling, power estimation and analysis.
- Experience in micro-architecture testing for modern high-performance, low power processors
- Experience in writing tests and building infrastructure that tests power and performance of modern processors.
- Experience in application-level power and performance analysis
- Programming/Scripting Skills C, C++, Perl, Python, Shell, Make file TCI
- Solid background and understanding of Digital Design, RTL design, improving model performance and Processor Architecture
- Strong troubleshooting, analytical and debug skills
- Prior experience is performance correlation of Processor subsystems (ARM/DSP) is preferred
- Should have excellent inter-personal, communication skills and ability to work in a fast-paced exciting environment
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
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Skills
Scriptingperformance analysisIntellectual propertyshelldigital designprocessor architecturePerlProgrammingcorrelationASICRTL DesignProcessorDebugPythonCommunication SkillsArchitectureRest AssuredArtificial IntelligenceMachine LearningFront End
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Qualcomm
Semiconductors
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