Analog Methodology Engineer, Principal
Synopsys
Kanata, ON-
Number of positions available : 1
- Salary To be discussed
- Published on November 14th, 2024
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Starting date : 1 position to fill as soon as possible
Description
Our Solution IP group is ramping up high-performance computing (HPC) demand, therefore we are looking for an enthusiastic applicant to join our team. You will be working with a cross functional team of analog and mixed signal circuit designers from a wide variety of backgrounds on design and methodology. This position requires hands on experience with transistor level simulations, reliability analysis, static timing analysis (STA) tools, a vast knowledge of mixed signal circuit design principles, a deep understanding of silicon IP release requirements, strong scripting skills to automate flows and the ability to lead and train junior engineers to become experts with new methodologies.
Qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, or similar technical field
- BSEE degree and 18-25 years of experience in IC design, or MSEE (or PhD) with 15-18 years of experience.
- Extensive programming skills in languages such as Python, Perl, TCL and C/C++
- Ability to provide automation for rapid and dynamic design needs is highly sought-after
- Extensive knowledge of Analog & Mixed-Signal circuit design
- Direct design experience in high speed PHY such as SERDES, DDR or HBM is a strong plus
- Proficiency with spice simulators including HSPICE, PrimeSim/FineSim and XA
- Deep knowledge on DC/AC/Transient, Cross corners PVT, Static & Dynamic CCK, Equivalency checks, Aging, EMIR/SHE Reliability analysis, Monte Carlo simulations
- Must be a team player with good written and verbal communication skills, self-motivated, thorough design styles, detail oriented, and work with multiple functional teams with good engineering practices
- Understanding of behavioral Verilog models & experience in SystemVerilog for AMS circuits
- Prior experience on products/test chips bring up, lab debug and simulations to silicon correlation is highly desirable
- Experience with STA and cell characterization such as Nanotime, Primetime, SiliconSmart
- Candidate with Machine Learning paradigms/techniques understandings with knowledge of applying it in modeling, circuit design flow & simulations is desirable
Should you require an accommodation, please contact hr-help-canada@synopsys.com
Synopsys Canada ULC values the diversity of our workforce. We are committed to provide access & opportunity to individuals with disabilities and will provide reasonable accommodation to individuals throughout the recruitment and employment process. Should you require an accommodation, please contact hr-help-canada@synopsys.com.
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