Software Engineer, Accelerator Solutions & Technologies; PhD

Overview

Summary: Meta is seeking an experienced software engineer to join the Accelerator Solutions & Technologies group, supporting the development of Meta’s accelerators collective communications software library and optimizing distributed AI/ML workloads’ performance. This role involves collaboration with a cross-functional and international team to advance next-generation, fast-paced AI/ML platforms deployed in large-scale clusters.

• Contribute to developer infrastructure, including simulation and hardware emulation platforms, to enable performance measurement and optimization for Meta’s in-house accelerator programs.
• Understand and contribute to the collective communications library, intended to be deployed on Meta’s AI/ML superclusters.
• Support networking and compute hardware acceleration techniques to improve ML inference and training model performance.
• Perform architectural analysis to ensure system designs meet performance, scalability, and reliability requirements.
• Implement simulation models for Meta’s Accelerator ASICs, develop and analyze scenarios to evaluate data center performance and identify potential improvements.
• 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 and firmware teams to ensure accurate modeling and simulation of accelerator functionalities.
• Analyze simulation results to guide firmware development and optimization efforts.

• PhD or in-process PhD in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience; degree must be completed prior to joining Meta.
• 2+ years of experience developing C++ codebases.
• 2+ years of experience developing Python codebases.
• Understanding of performance, benchmarking measurement, and optimization on collective communications and distributed at-scale model training.
• Either currently has or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience; degree must be completed prior to joining Meta.

• Understanding of the transport stack (e.g., RoCE) and its constraints, particularly pertaining to interconnect and collective.
• Experience with System
  
  C.
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
• Knowledge of AI/HPC hardware requirements and specifications (e.g., configuring hardware components for AI/HPC workloads).
• Familiarity with relevant tools, libraries, and frameworks (e.g., PyTorch, CUDA).
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).

Public Compensation: $58.65/hour to $181,000/year + benefits

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