Library Characterization Lead Engineer

13 hours ago


Central Singapore Ambiq Micro Full time

**Company Overview**:
**Company Overview**

Ambiq® is bringing intelligence to billions of endpoints. Using the revolutionary Sub-threshold Power Optimized Technology (SPOT) Platform, Ambiq’s record-breaking ultra-low power SoCs free device makers to put intelligence everywhere. Ambiq’s SoCs have enabled more than 100 million battery-powered devices in markets ranging from wearables to hearables to smart credit cards to smart home devices to smart industrial devices. Ambiq develops and sells SoCs and software solutions with innovative and fast-moving teams in the US (Austin and San Jose), Taiwan (Hsinchu), China (Shenzhen and Shanghai), Japan (Tokyo), and Singapore.

We are just getting started with these first 100 million devices. Come join us on our quest for 100 billion devices. The endpoint intelligence revolution starts here.

**Scope**

We are looking for a skilled and **experienced Standard Cell Library Characterization** Lead Engineer** with expertise in FinFET technology. As a Lead Engineer, you will play a vital role in the development and validation of standard cell libraries for advanced semiconductor designs. Your primary responsibility will be to characterize and optimize standard cell performance using FinFET technology. You will work closely with cross-functional teams to ensure the quality, reliability, and efficiency of the standard cell libraries.

**Specific Responsibilities**
- Drive cell characterization, QA flows and setup collaterals for standard cells, memory and IOs
- Characterize and optimize standard cell libraries for FinFET technology, focusing on performance, power, and area metrics.
- Collaborate with circuit designers and layout engineers to define library requirements and ensure adherence to design rules and guidelines.
- Develop and execute test plans for standard cell library characterization, including timing, power, noise, and reliability analyses.
- Conduct transistor-level simulations and circuit-level measurements to validate and optimize standard cell performance.
- Perform detailed analysis of characterization data, identify deviations and anomalies, and propose corrective actions.
- Work closely with process engineers to understand and mitigate process variations that may impact standard cell library performance.
- Collaborate with the design automation team to enhance characterization methodologies and develop automation scripts for efficient library characterization.
- Participate in technology node evaluations and provide recommendations for standard cell library optimizations based on technology roadmaps.
- Collaborate with product development teams to ensure smooth integration and validation of standard cell libraries in advanced chip designs.
- Stay up-to-date with the latest advancements in FinFET technology, standard cell design methodologies, and industry trends.

**Education and Experience**:

- Bachelor’s degree in electrical engineering or a related field.
- Extensive experience in standard cell library characterization, with a strong emphasis on FinFET technology.
- Proficiency in industry-standard EDA tools for transistor-level and circuit-level simulations, such as Cadence or Synopsys and Cadence Virtuoso Liberate/LV/Mx/Trio
- Solid understanding of FinFET technology and its impact on standard cell library design and characterization.
- Experience in characterizing standard cell libraries for advanced process nodes (e.g., 16nm, 12nm, 6nm or below) is highly desirable.
- Knowledge of standard cell architectures, design rules, and layout considerations.
- Familiarity with circuit and layout design, static timing analysis (STA) and power analysis methodologies.
- Strong analytical skills and attention to detail for data analysis and problem-solving.
- Excellent programming and scripting skills (e.g., Python, Perl, Tcl) for automation and data processing tasks.
- Effective communication and teamwork skills to collaborate with cross-functional teams and present findings and recommendations.

**Key Personal and Professional Attributes



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