Full Stack Software Engineer 3 Description: We are seeking an experienced System-on-Chip (SoC) Performance Modeling Engineer to join our team. The ideal candidate will have a strong background in performance modeling of memory systems using C++, as well as experience in trace collection and profiling from GPU and TPU workloads. Proficiency in C++ and Python, along with solid software engineering practices, is essential. Duties: Performance Modeling: Develop and maintain detailed performance models of memory systems using C++, ensuring accurate simulation and analysis of system behavior. Trace Collection & Profiling: Design and implement methodologies for collecting and analyzing traces from GPU and TPU workloads to identify performance bottlenecks and optimization opportunities. Performance Analysis: Conduct in-depth analysis of memory subsystem performance, utilizing both analytical models and cycle-accurate simulators. Documentation & Reporting: Prepare comprehensive reports detailing performance findings, recommendations, and best practices. Requirements: MinimumEducational Background: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. A minimum of 5 years of experience in SoC performance architecture, with a focus on memory systems. Technical Proficiency: Strong programming skills in C++ and Python. Experience with performance modeling tools and simulators. Familiarity with GPU and TPU architectures and workloads. Analytical Skills: Proven ability to analyze complex systems and identify performance optimization opportunities. Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences. Preferred Qualifications: Software Engineering Practices: Demonstrated experience in applying software engineering best practices, including version control, testing, and code reviews. Industry Knowledge: Familiarity with the latest trends and advancements in SoC design and performance optimization. Compensation: $80-90/hr W—2 Req ID:  JP 5204