Conduct thorough bottleneck analysis of existing and future SoCs to identify areas for improvement Develop accurate models of IP components, SoC fabric, and DRAM to predict performance and inform design decisions Analyze system usage behavior of workloads and create micro-benchmarks to evaluate performance Identify opportunities for optimization and collaborate with hardware teams to solidify HW-SW co-design Work across disciplines, collaborate with vendors, brainstorm ideas and solutions, develop new methodologies, and coordinate multiple initiativesBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8+ years of experience in creating performance models using C/C++ or SystemC Experience with SoC architecture, NoCs, memory sub-system, Quality of Service (QoS), and heterogeneous compute principles Experience with scripting, infrastructure, automation, and visualization using Python Experience with power concepts and trade-offs Experience deconstructing technical problems, designing performance experiments, analyzing/visualizing data, and sharing detailed analysis in the form of documentation with peers and cross-functional partners MS degree in EE/CS or equivalent experience Experience working with cycle-accurate performance models and frameworks for performance architecture evaluations of various SoC components (Accelerators, NoC, DRAM, MMU, etc.) Experience with bare-metal programming, micro-benchmarking, performance instrumentation, Simpoints, etc Experience with RTL design verification Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Meta builds technologies that help people connect, find communities, and grow businesses. The custom silicon team within Reality Labs is driving the state-of-the-art forward with breakthrough work in AI, augmented reality, computer vision, machine learning, graphics, displays, and sensors.