AI/HPC System Performance Engineer, PhD jobs in United States
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Meta · 11 hours ago

AI/HPC System Performance Engineer, PhD

positionMenlo Park, CA
timeFull-time
remoteOnsite
seniorityMid, Senior Level
money$122K/yr - $181K/yr
date2+ years exp

Meta builds technologies that help people connect, find communities, and grow businesses. They are seeking an AI/HPC System Performance Engineer to develop solutions for large scale training systems and ensure the performance of the communication system meets stringent requirements.

Computer Software
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Comp. & Benefits

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

Qualification

Communication librariesHost networking protocolsPerformance benchmarkingAI training workloadsMachine learning frameworksSystems software developmentSoft skills

Required

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
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred

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++

Benefits

Bonus
Equity
Benefits

Company

Meta

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Meta's mission is to build the future of human connection and the technology that makes it possible.
dateFounded in 2004
location
Menlo Park, CA, US
people-size10001+ employees
web-link
https://www.metacareers.com/

Funding

Current Stage
Late Stage

Leadership Team

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Kathryn Glickman
Director, CEO Communications
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Christine Lu
CTO Business Engineering NA
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