Performance Modeling Engineer
1 week ago
Project description
We are passionate about transforming lives through cutting-edge technology, enriching industries, communities, and the world. Our mission is to create exceptional products that drive next-generation computing experiences, serving as the foundation for data centers, artificial intelligence, PCs, gaming, and embedded systems.
At the core of our mission lies a culture of innovation. We challenge boundaries to solve some of the world's most critical problems. We are committed to execution excellence, fostering a culture of openness, humility, collaboration, and inclusivity, valuing diverse perspectives along the way.
As Performance Modeling Engineer, you will take part in the development of performance models for high-performance computing systems, enabling accurate architectural analysis and optimization of advanced processors.
We are looking for someone who has a passion for modern, complex processor architecture, digital design, and verification in general. Who are a team player and has good communication skills, strong analytical and problem-solving skills and willing to learn and ready to accept challenges.
Responsibilities
Participate in Performance model/RTL design correlation for next-generation memory technologies, scalable interconnects, and quality-of-service
Conduct performance analysis and validate metrics against hardware implementations, ensuring accurate modeling
Collaborate with architects and design teams to ensure the alignment of performance models with the overall system architecture
Participate in performance model/RTL design correlation efforts to achieve high accuracy
Understand and contribute to SoC interconnect and memory controller architecture
Familiar with and understand how to use micro-benchmarks and workloads to identify perf gaps between RTL and model
Skills
Must have
Strong verification experience (SystemVerilog, UVM)
Proficiency in C++ and object-oriented programming, Python (or similar)
Nice to have
Exposure to x86 architecture and its performance optimization aspects
Knowledge of digital design and verification processes
Familiarity with scripting and automation tools to streamline and enhance modeling workflows
Experience with scalable interconnects and memory technologies
Understanding of quality-of-service (QoS) concepts in system design
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