Systems engineer

Summary:

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.

Required Skills:

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

Minimum Qualifications:

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 2+ 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

Preferred Qualifications:

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++

Public Compensation:

$117,000/year to $173,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

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