Meta's AI Training and Inference Infrastructure is growing exponentially to support ever increasing uses 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 that expects a loss-less fabric interconnect. To improve performance of these systems we constantly look for opportunities across stack: network fabric and host networking, comms lib and scheduling infrastructure.

Postdoctoral Researcher, AI/HPC Systems Performance (PhD) 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.

Minimum Qualifications

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• 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.
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.

Preferred Qualifications

• 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++
• Exposure triaging performance issues in complex scale-out distributed applications.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com. US$105,000/year to US$173,000/year + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.