Job Information
Meta AI/HPC Systems Performance Engineer in Menlo Park, California
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 4+ years work experience.
xperience 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++
Exposure triaging performance issues in complex scale-out distributed applications.
Public Compensation:
$105,000/year to $173,000/year + 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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