Company:QT Technologies Ireland LimitedJob Area:Engineering Group, Engineering Group > GPU ASICS Engineering
General Summary:
About The Role
As a leading technology innovator, Qualcomm pushes the boundaries of what’s possible to enable next-generation experiences and drive communication and data processing transformation to help create a smarter, connected future for all. As a Qualcomm GPU STA Engineer, you will perform static timing analysis, develop timing constraints, and optimize timing performance for a variety of high-performance, high-quality, low-power world-class products. You will collaborate with cross-functional teams to ensure timing closure and validate timing models, contributing to the successful execution of product development.
The GPU STA team at Qualcomm is responsible for evaluating block-level and top-level timing to ensure optimal performance and power efficiency in advanced GPUs. As a GPU STA Engineer, you will conduct static timing analysis on synthesized and PNR netlists, provide feedback to RTL and Physical Design teams to improve PPA, collaborate with cross-functional teams to meet timing constraints, and implement timing ECOs to resolve violations. Your role is crucial in developing high-performance, low-power graphics solutions that drive the future of technology.
You will be responsible for:
You will be member of team developing chip signoff methodology and flow:
Enhancing STA and PDN / Timing technologies for design closure methodology with unique challenges driven by Low power architecture, Si Variation, Low voltage operation and other challenges.Driving accuracy of timing closure and static/dynamic flows to reduce turn around timeStatistical analysis techniques Moments, LVF models generation and qualificationAutomation for timing and power data mining and processingParticipating in project proposal development including key milestones and deliverablesExecuting and deliver project goals in a timely manner with production supportResolving issues in all phases of development to assure smooth project execution
We would love to see:
Expertise in Primetime, Primeshield and Tempus based, hierarchical analysis for large SoCsExpertise in Redhawk SC for flow development of static/dynamic/DVDHands on Tweaker, Tempus ECO and PTECO for timing closureHighly Proficient in Python, TCL and PerlInterest in Design for Parametric Yield is an added advantage.Comfortable with extraction, simulation tools and environments is a plusExcellent problem-solving skills and results-driven, able to work and drive practical solutions under research environment.Good communication skill and personal skills in a multi-disciplinary, fast-paced engineering environmentMinimum Qualification Master’s of Computer Engineering or Electrical Engineering3+ years industrial work experience.
Qualcomm offers flexible work options tailored to our employee’s needs. These include a combination of work from home and working in our brand new, state of the art office in Penrose Dock, Cork.
Well-being and life balance are fundamental to Qualcomm as an employer. We recognise and understand that employees have missed spending quality time with loved ones and extended family.
As such, Cork Qualcomm policy allows our employees to blend short-term remote working with annual leave.
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm GPU Engineer, you may architect, design, implement, verify, and/or optimize the performance and power of GPU cores. Qualcomm Engineers collaborate with cross-functional teams to meet and exceed customer needs.
Minimum Qualifications:
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
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