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Location: Bengaluru
Company: Qualcomm
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 2+ years of experience working on multiple designs.
Minimum Qualifications
Bachelor’s degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience.
OR
Master’s degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
OR
PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.
