Posted:1 day ago|
Platform:
Work from Office
Full Time
Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: You will be interacting closely with the product definition and architecture team. Developing implementation (microarchitecture and coding) strategies to meet quality, and PPAS (Performance Power Area Schedule) goals for Sub-system. Define various aspects of the block level design such as block diagram, interfaces, clocking, transaction flow, pipeline, low power etc. Perform as well as lead a team of engineers on RTL coding for Sub-system/SOC integration, function/performance simulation debug. Drive Lint/CDC/FV/UPF checks to ensure design quality. Develop Assertions as part of white-box testing-coverage. Work with stakeholders to discuss the right collateral quality and identify solutions/workarounds. Work towards delivering with key design collaterals (timing constraints, UPF etc.). Desired Skillset: Good understanding of low power microarchitecture techniques and AI/ML systems. Thorough knowledge of Computer system architecture, including design aspects of AI/ML designs. Experience in high performance design techniques and trade-offs in a Computer microarchitecture. Good understanding of principals of NoC Design Define Performance (Bandwidth, Latency) and Bus transactions sizing based on usecases across Voltage/Frequency corners Working with Power and Synthesis teams on usecases, dynamic power and datapath interactions Knowledge of Verilog / System Verilog. Experience with simulators and waveform debugging tools Working with SOC DFT and PD teams as part of collaterals exchanges Knowledge of logic design principles along with timing and power implications. Preferred Qualifications Master's or Bachelor's degree in Electronics or Electrical Engineering or equivalent. At least 3+ years of experience working on multiple designs. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.
Qualcomm
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