Software Engineer, Simulation

We are seeking an experienced software engineer to join the MTIA (Meta Training and Inference Accelerator) software team, to work on simulators and other early software development platforms. The simulators you build will be critical for pre-silicon development, allowing the whole team to develop software before hardware is available. This is an opportunity to work with a dedicated engineering team, collaborating with a large set of cross-functional partners. The program carries top-level executive visibility as a key AI infrastructure initiative, and the team values deep technical contributions with extensive knowledge-sharing.ResponsibilitiesContribute to our developer infrastructure, including simulation and HW emulation platforms, to enable performance measurement and optimization for Meta's in-house accelerator programsSupport networking and compute hardware acceleration techniques to improve ML inference and training model performanceImplement simulation models for Meta's Accelerator ASICs, develop and analyze various scenarios to evaluate data center performance and identify potential improvementsPerform an architectural analysis to ensure that system designs meet performance, scalability, and reliability requirementsCollaborate with architects and engineers to integrate simulation results into system design processesUse instruction set simulators to define performant firmware for Meta's training/inference acceleratorsCollaborate with hardware teams to ensure accurate modeling and simulation of accelerator functionalitiesMinimum QualificationsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceMasters or PhD in Computer Science, Computer Engineering, or any other relevant technical field5+ years of experience in developing C++ codebase5+ years experience in developing Python codebaseUnderstanding of performance and benchmarking measurement and optimization on collective communications and distributed at-scale model training and inferencePreferred QualificationsExperience with SystemC, Qemu, Virtual PlatformDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesDemonstrated 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 collectiveFull-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)About MetaMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. 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.Equal Employment OpportunityMeta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.