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Software Engineer, Accelerator Solutions & Technologies
MetaMenlo Park, United Statesfull_timeVerifiedPosted 6 Dec 2024
💰 $208,000/yr($141,340/yr – $208,000/yr)
About the role
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 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.Software Engineer, Accelerator Solutions & Technologies Responsibilities
$७०.६७/hour to $२,०८,०००/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.
- Contribute to our developer infrastructure, including simulation and HW 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 various 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.
- Masters or doctorate degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 5+ years of programming experience in C++.
- 5+ years of programming experience in Python.
- Understanding of performance and benchmarking measurement and optimization on collective communications and distributed at-scale model training.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Full-stack experience and understanding of AI/HPC systems, from hardware and 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/deep learning domains: hardware accelerators, AI Infrastructure, and/or high performance compute (HPC), particularly pertaining to interconnect and collective.
- Knowledge of AI/HPC hardware requirements and specifications (e.g., configuring hardware components, GPU, memory, network for AI/HPC workloads).
- Understanding of the transport stack (e.g., RoCE), its constraints and performance measures and how transport considerations enable the collective communications stack.
- Experience with SystemC.
$७०.६७/hour to $२,०८,०००/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.
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