AI/HPC Systems Performance Engineer

Meta Platforms, Inc.
Apply Now

Job Description

Meta's AI Training and Inference Infrastructure is growing exponentially to support ever increasing use cases of AI. This results in a dramatic scaling challenge that our engineers have to deal with on a daily basis. We need to build and evolve our network infrastructure that connects myriads of training accelerators like GPUs together. In addition, we need to ensure that the network is running smoothly and meets stringent performance and availability requirements of RDMA workloads. These workloads expect a loss-less fabric interconnect with minimal latency. To improve performance of these systems we constantly look for opportunities across stack: network fabric and host networking, comms lib and scheduling infrastructure.

AI/HPC Systems Performance Engineer Responsibilities

  • Lead multi-disciplinary teams to develop solutions for large scale training systems. Assess trade-offs of various solutions and make pragmatic decisions.
  • Ensure timely milestone delivery with teamwork and close collaboration
  • Responsible for the overall performance of the communication system, including performance benchmarking, monitoring and troubleshooting production issues.
  • Defining technical vision and driving a multi-year roadmap to make progress towards the related objectives.
  • Work with cross functional teams and provide guidance on the AI network architecture including topologies, transport, congestion control techniques.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Experience with developing, evaluating and debugging host networking protocols such as RDMA.
  • 10+ years of experience in designing, deploying and operating networks.
  • Experience with triaging performance issues in complex scale-out distributed applications.

Preferred Qualifications

  • Experience with developing communication libraries, such as MPI, NCCL, and UCX.
  • Understanding of AI training workloads and demands they exert on networks.
  • Understanding of RDMA congestion control mechanisms on IB and RoCE Networks.
  • Understanding of the latest artificial intelligence (AI) technologies.
  • Experience with machine learning frameworks such as PyTorch and TensorFlow
  • Experience in developing systems software in languages like C++

Start preparing

Learn about how to prepare for your interview with our interview guide, tips, and interactive experiences.

Company Info.

Meta Platforms, Inc.

Meta Platforms (formerly known as Facebook Inc.) is a large technology company that was founded in 2004 by Mark Zuckerberg and several of his college roommates. The company is based in Menlo Park, California, and is primarily known for its flagship social media platform, Facebook. In addition to its consumer-facing products, Meta Platforms also offers a range of advertising and marketing services to businesses and organizations.

  • Industry
    Advertising,Consumer electronics,Social media Company,Artificial intelligence
  • No. of Employees
    76,000
  • Location
    1 Hacker Way, Menlo Park, CA 94025, USA
  • Website
  • Jobs Posted

Get Similar Jobs In Your Inbox

Meta Platforms, Inc. is currently hiring AI Performance Engineer Jobs in Menlo Park, CA, USA with average base salary of $205,000 - $281,000 / Year.

Similar Jobs View More