Guiding partners in their adoption of end-to-end Agentic AI solutions, using NVIDIA's compute, networking, and software stacks.
Delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs.
Collaborating with executives and engineering to solve complex problems.
Helping bring NVIDIA's premiere technologies to life in the cloud and in the datacenter.

Requirements

Strong foundational expertise and a BS, MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience).
Established track record working with AI and HPC clusters, both on-premises and cloud based.
12 plus years of proven experience with cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible.
Hands-on experience with network, storage, cluster configuration and debugging.
Strong analytical and problem-solving skills, along with an ability to articulate what you know to others.
Ability to multitask efficiently in a dynamic environment.
Strong coding and debugging skills, including experience with Python, C/C++, Bash, and Linux utilities.
Demonstrated expertise through projects or Open Source contributions involving GPU workloads, Kubernetes, InfiniBand, Ethernet, or other areas related to high-performance clusters and hybrid cloud solutions.
Exhibit hands-on experience with NVIDIA AI Enterprise, Base Command Manager, Run:ai and NVIDIA NIMs.
Willingness and ability to learn quickly and solve advanced problems.

Benefits

equity
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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AIHPC clusterscluster managementDocker ContainersSlurmKubernetesAnsiblePythonC/C++Bash

Soft Skills

analytical skillsproblem-solving skillscommunication skillsmultitaskingcollaboration

Certifications

BS in EngineeringMS in EngineeringPhD in EngineeringBS in Computer ScienceMS in Computer SciencePhD in Computer Science