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What you will be doing:
Working with Cloud Solution Providers on data center GPU server infrastructure projects.
Help with cluster bring-up and deployment.
Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s ML/DL and Data Center technologies
Build custom PoCs for solution that address customer’s critical business needs applying NVIDIA hardware and software technology
Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions for ML/DL and other software solutions
Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
Conduct regular technical customer meetings for project/product roadmap, feature discussions, and intro to new technologies. Establish close technical ties to the customer to facilitate rapid resolution of customer issues
What we need to see:
5+ years of Solution Architecture Engineering or Software Engineering experience
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields or equivalent experience.
System level understanding of server architecture, PCIe devices, NICs, Linux OS and kernel drivers
Knowledge of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, Data Center deployments
Good programming and debugging skills
Ability to communicate your ideas/code clearly through documents, presentation etc.
Ways to stand out from the crowd:
Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.)
System-level experience specifically GPU-based systems
Experience in Deep Learning and Machine Learning
Experience with Deep Learning at scale
Familiarity with parallel programming and distributed computing platforms
You will also be eligible for equity and .
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