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Principal Infrastructure Performance and Development Engineer
Location:
Santa Clara, CA
Description:
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: Deep understanding of HPC and distributed system architecture with emphasis on RDMA Hands on working experience in more than one of the above areas especially with performance analysis and profiling of Deep Learning workloads. Comfortable navigating and working with the PyTorch codebase. - Proven understanding of CUDA and GPU architecture The base salary range is 272,000 USD - 419,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits . NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. About Us NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. #J-18808-Ljbffr
Company:
Nvidia
Posted:
March 28 on TopUSAJobs
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More About this Listing: Principal Infrastructure Performance and Development Engineer
Principal Infrastructure Performance and Development Engineer is a Architecture & Design Development Engineer Job at Nvidia located in Santa Clara CA. Find other listings like Principal Infrastructure Performance and Development Engineer by searching Oodle for Architecture & Design Development Engineer Jobs.
Principal Infrastructure Performance and Development Engineer is a Architecture & Design Development Engineer Job at Nvidia located in Santa Clara CA. Find other listings like Principal Infrastructure Performance and Development Engineer by searching Oodle for Architecture & Design Development Engineer Jobs.