Contribute to our developer infrastructure, including simulation and HW emulation platforms, to enable performance measurement and optimization for Meta's in-house accelerator programs Support networking and compute hardware acceleration techniques to improve ML inference and training model performance Implement simulation models for Meta's Accelerator ASICs, develop and analyze various scenarios to evaluate data center performance and identify potential improvements Perform an architectural analysis to ensure that system designs meet performance, scalability, and reliability requirements Collaborate with architects and engineers to integrate simulation results into system design processes Use instruction set simulators to define performant firmware for Meta's training/inference accelerators Collaborate with hardware teams to ensure accurate modeling and simulation of accelerator functionalitiesBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Masters or PhD in Computer Science, Computer Engineering, or any other relevant technical field 5+ years of experience in developing C++ codebase 5+ years experience in developing Python codebase Understanding of performance and benchmarking measurement and optimization on collective communications and distributed at-scale model training and inference Experience with SystemC, Qemu, Virtual Platform Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience in one or more of the following machine learning/deep learning domains: hardware accelerators, AI Infrastructure, and/or high performance computing (HPC), particularly pertaining to interconnect and collective Full-stack experience and understanding of AI/HPC systems, from HW/infrastructure through the application layer, performance optimizations, including familiarity with relevant tools, libraries, and frameworks (e.g., NCCL, PyTorch, CUDA)Meta builds technologies that help people connect, find communities, and grow businesses. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.