MTS - GPU Performance Architect - Modeling

Job Description

Architect, analyze and optimize high-performance GPU-centric SoCs for Cloud Computing, and Machine Learning acceleration. Develop performance models and methodologies. Propose solutions to enhance performance and optimize power for next-generation data center systems. The Person: As a system performance architect on our design engineering team, you will help propose and implement solutions to our next generation GPU SoCs and optimize data center system application performance. Key Responsibilities: Participate in microarchitecture exploration, performance modeling, and analysis for next-generation GPU systems. Understand the design and architecture, propose solutions to enhance performance. Help with micro-benchmarking, workload characterization, competitive analysis, bottleneck identification, and optimization. Develop tools and methodologies for performance analysis of workloads. Communicate, propose, and implement solutions to enhance processor and system performance. Preferred Experience: Strong knowledge of GPU, CPU, SoC or computer system microarchitecture Experience with the development and usage of computer system performance models Some experience with computer workload analysis Strong programming skills, including experience with C++ and Python (or similar) Academic Credentials: Ph.D. in Computer Science / Electronics Engineering, and 3+ years of experience as a Performance Engineer M.S./M.Tech. in Computer Science / Electronics Engineering, and 5+ years of experience as a Performance Engineer B.Tech. in Computer Science / Electronics Engineering, and 7+ years of experience as a Performance Engineer