Meta Platforms
Software Engineer, Accelerator Systems & Technologies
Meta Platforms - Menlo Park, California, United States, 94029
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Overview
Software Engineer, Accelerator Systems & Technologies
Meta is seeking an experienced software engineer to join our Accelerator Solutions & Technologies group, supporting the development of Meta's accelerators collective communications software library and optimizing distributed AI/ML workloads' performance. This is an opportunity to work with a highly skilled engineering team, collaborating with a large set of cross-functional and international partners. Meta's next-generation, super-cluster AI/ML platforms offer the opportunity to work in an extremely dynamic environment, enabling core technologies deployed in some of the world's largest scale clusters. Responsibilities
Understand and contribute to the collective communications library, intended to be deployed on Meta's AI/ML superclusters Design and implement communication features for next generation AI/ML workloads Support networking and compute hardware acceleration techniques to improve ML inference and training model performance Support large-scale deployment of collective communication libraries across Meta's infrastructure Perform architectural analysis to ensure system designs meet performance, scalability, and reliability requirements Analyze simulation results to guide firmware development and optimization efforts Minimum Qualifications
Bachelor'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 6+ years experience in developing C++ codebase Understanding of performance, benchmarking measurements, and optimization of collective communication and distributed at-scale model training Preferred Qualifications
Understanding of the transport stack (e.g., RoCE), its constraints and performance measures and how transport considerations enable the collective communications stack. Knowledge of AI/HPC hardware requirements and specifications (e.g., configuring hardware components, GPU, memory, network for AI/HPC workloads). 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). Experience in one or more of the following machine learning domains: hardware accelerators, AI Infrastructure, and/or high performance computing (HPC), particularly pertaining to interconnect and collective. $85.10/hour to $251,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Meta 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.
Meta is seeking an experienced software engineer to join our Accelerator Solutions & Technologies group, supporting the development of Meta's accelerators collective communications software library and optimizing distributed AI/ML workloads' performance. This is an opportunity to work with a highly skilled engineering team, collaborating with a large set of cross-functional and international partners. Meta's next-generation, super-cluster AI/ML platforms offer the opportunity to work in an extremely dynamic environment, enabling core technologies deployed in some of the world's largest scale clusters. Responsibilities
Understand and contribute to the collective communications library, intended to be deployed on Meta's AI/ML superclusters Design and implement communication features for next generation AI/ML workloads Support networking and compute hardware acceleration techniques to improve ML inference and training model performance Support large-scale deployment of collective communication libraries across Meta's infrastructure Perform architectural analysis to ensure system designs meet performance, scalability, and reliability requirements Analyze simulation results to guide firmware development and optimization efforts Minimum Qualifications
Bachelor'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 6+ years experience in developing C++ codebase Understanding of performance, benchmarking measurements, and optimization of collective communication and distributed at-scale model training Preferred Qualifications
Understanding of the transport stack (e.g., RoCE), its constraints and performance measures and how transport considerations enable the collective communications stack. Knowledge of AI/HPC hardware requirements and specifications (e.g., configuring hardware components, GPU, memory, network for AI/HPC workloads). 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). Experience in one or more of the following machine learning domains: hardware accelerators, AI Infrastructure, and/or high performance computing (HPC), particularly pertaining to interconnect and collective. $85.10/hour to $251,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Meta 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.