Senior CPU SRAM Design Engineer

Job Title

Senior CPU SRAM Design Engineer

Role Summary

Design, analyze and optimize custom SRAM and memory-related digital circuits for high-performance CPU products. The role owns memory design tasks from schematic entry through simulation, timing and model generation, and works within a CPU engineering team in Cork.

This is an engineering role focused on SRAM circuit design, verification and characterization to meet performance, power and scalability targets.

Experience Level

Senior - typically 4+ years of relevant industry experience; candidates with advanced degrees and equivalent practical experience will be considered.

Responsibilities

Primary responsibilities include end-to-end memory circuit design and analysis. Close collaboration with CAD and Physical Design teams is expected.

• Develop custom digital circuits for high-speed and low-power SRAM designs.
• Schematic capture and design entry for custom memories.
• Plan and supervise layout activities and provide layout guidance.
• Functional verification and Verilog memory modeling.
• Run circuit simulation, variation-aware and Monte Carlo analyses; perform margin verification.
• Timing characterization and static timing analysis for memories.
• Generate deliverable collateral models and interact with CAD for model generation.
• Work with Physical Design to resolve PPA (performance, power, area) challenges.
• Contribute to DFT/BIST, modeling and memory analysis flow development as needed.

Requirements

Must-have technical skills and experience; preferred items listed separately.

• Proven experience designing SRAM circuits and register files.
• Hands-on experience with industry-standard custom design tools and flows.
• Experience with circuit simulation, Monte Carlo analysis and variation-aware simulation.
• Experience with static timing analysis and timing characterization for memories.
• Experience in functional verification and memory logical models (Verilog).
• Familiarity with custom memory layout design and memory analysis steps (simulation, timing, power, electrical characterization).
• Knowledge of semiconductor device fundamentals and physical implementation impacts on circuit performance.
• Preferred familiarity with FinFET and Nanosheet technology variation considerations.
• Preferred proficiency with tools such as NanoTime, Ansys EMIR, ESP-CV and Liberate.

Education Requirements

Degrees and equivalent experience referenced in the source: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science or related field (common reference to 2+–4+ years' experience), or a Master's degree (with 1+ year experience), or a PhD in a related technical field. Applications with equivalent practical experience will be considered.

About the Company

Company: Qualcomm

Headquarters: San Diego, California, United States

Qualcomm is a global leader in semiconductor and telecommunications equipment, specializing in mobile technologies and innovations. Known for its Adreno GPUs, the company provides solutions enabling advancements in mobile gaming, AI, VR/AR, and autonomous driving. Qualcomm's cutting-edge technology and commitment to high-performance, power-efficient designs drive the evolution of mobile graphics and connectivity worldwide.