AI/HPC Systems Performance Engineer
1 month ago
AI/HPC Systems Performance Engineer Responsibilities:
- Active member of a multi-disciplinary team to develop solutions for large scale training systems.
- Responsible for the overall performance of the communication system, including performance benchmarking, monitoring and troubleshooting production issues.
- Identify potential performance issues across the stack: comms lib, RDMA transport, host networking, scheduling and network fabric. Develop and deploy innovative solutions to address the performance issues.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- BS/MS/PhD in relevant fields (EE, CS), with 4+ years work experience.
- Experience with using communication libraries, such as MPI, NCCL, and UCX.
- Experience with developing, evaluating and debugging host networking protocols such as RDMA.
- Experience with triaging performance issues in complex scale-out distributed applications.
- 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++.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-
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