In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the CPU, SoC, performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision-making. In addition, you will correlate performance projections with measured post-silicon data.
Responsibilities
Design, develop, test, deploy, maintain, and improve CPU software modeling and other software tools.
Manage individual project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SOC performance modeling team, and other Google Software teams.
Requirements:
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
4 years of experience with performance, systems data analysis, visualization tools, or debugging.
Experience in performance modeling, performance analysis, and workload characterization.
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
4 years of experience with performance, systems data analysis, visualization tools, or debugging.
Experience in performance modeling, performance analysis, and workload characterization.
Preferred qualifications:
Masters degree or PhD in Engineering, Computer Science, or a related technical field.
Experience in modern, high-performance CPU/ML architecture and micro-architecture.
Ability and interest to learn other coding languages as needed.
Excellent object-oriented, database design, and SQL skills.
This position is open to all candidates.
