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Principal Infrastructure Performance and Development Engineer - Santa Clara California
Company: NVIDIA Corporation Location: Santa Clara, California
Posted On: 05/05/2024
Principal Infrastructure Performance and Development Engineer page is loaded Principal Infrastructure Performance and Development Engineer Apply locations US, CA, Santa Clara time type Full time posted on Posted Yesterday job requisition id JR1981842 Joining NVIDIA's AI Efficiency Team means contributing to the infrastructure that powers our leading-edge AI research. This team focuses on optimizing efficiency and resiliency of ML workloads, as well as -developing scalable AI infrastructure tools and services. Our objective is to deliver a stable, scalable environment for NVIDIA's AI researchers, providing them with the necessary resources and scale to foster innovation. We're transforming the way Deep Learning applications run on tens of thousands of GPUs. Join our team of experts and help us build a supercharged AI platform that maximizes efficiency, resilience, and Model FLOPs Utilization (MFU). In this - position you will -be collaborating with a diverse team that cuts across many areas of Deep Learning HW/SW stack in building a highly scalable, fault tolerant and optimized AI platform. - What you will be doing: - Build tools and frameworks that provide real time application performance metrics that can be correlated with system metrics -
- Develop automation frameworks that empower applications to thoughtfully predict and overcome system/infrastructure failures, ensuring fault tolerance.
- Collaborate with software teams to pinpoint performance bottlenecks. Design, prototype, and integrate solutions that deliver demonstrable performance gains in production environments.
- Adapt and enhance communication libraries to seamlessly support innovative network topologies and system architectures.
- Design or adapt optimized storage solutions to boost Deep Learning efficiency, resilience, and developer productivity. What We Need to See:
- BS/MS/PhD (or equivalent experience) in Computer Science, Electrical Engineering or a related field.
- Proven experience in least one of the following area: 10+ years of experience in analyzing and improving performance of training applications using PyTorch or similar framework 10+ years of experience with building distributed software applications 10+ years of experience in building storage solutions for Deep Learning applications 10+ years of background in building automated fault tolerant distributed applications 5+ years building tools for bottleneck analysis and automation of fault tolerance in distributed environments.
- Strong background in parallel programming and distributed systems
- Experience analyzing and optimizing large scale distributed applications.
- Excellent verbal and written communication skills Ways To Stand Out From The Crowd:
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