ASIC RTL Design – (Turing/AI ML) Sr Eng/Sr Lead/Staff Engineer Full-time

Company:
Qualcomm India Private Limited

Job Area:
Engineering Group, Engineering Group > Hardware Engineering

General Summary:

n this role

• 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 4+ years of experience working on multiple designs.

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.
OR
Master’s degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience.
OR
PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.

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