AI Network Infrastructure Specialist
18 hours ago
Meta is expanding its AI Training and Inference Infrastructure, driven by increasing use cases of AI. This scaling challenge requires our engineers to build and evolve network infrastructure that connects multiple GPUs together.
Job Responsibilities- Design, develop, test, and operate networking systems to support large-scale AI training jobs.
- Establish global best practices and contribute to the design of new scalable network solutions.
- Research, develop, and deploy technologies and network topologies to evolve and scale AI networks.
- Lead projects addressing hard technical challenges, contributing to roadmaps and partnering with industry experts to develop reliable and scalable solutions.
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field.
- 7+ years of experience developing scalable and reliable systems and/or networks.
- Experience designing, deploying, and operating data center networks at scale.
- Coding skills in languages like Python, C++, Go.
- Experience in network automation software and software-defined networking principles.
- Understanding of AI technologies and associated network technologies (IB/RDMA/RoCE).
META offers $140,000 - $200,000/year + bonus + equity + benefits, a competitive salary reflecting the complexity and scope of this role. As an equal opportunity employer, META welcomes qualified applicants from diverse backgrounds.
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