NVIDIA
AI
SolutionsArchitect,OEMAIFactoryInfrastructure
Neural analysis suggests this role is
optimal for Mid candidates.
“Solutions Architect, OEM AI Factory Infrastructure at NVIDIA. Skills: Solutions Architect, AI Factory Infrastructure, DevOps, HPC/AI workloads, Cluster Administration, Site Reliability Engineering, NVIDIA solutions. Contributing member of the OEM AI Factory SA team. Acquire insight into various facets of AI Factories deployments”
Industry & Context.
analytical and problem-solving skills
What They're Looking For.
Must Have
Linux system administration, Python, networking concepts, BS, MS, or PhD in Computer Science, Computer Architecture, Electrical Engineering, Math, Physics, Data Science, or related technical fields (or equivalent experience), 5+ years experience, skills in one or more programming languages (Python, C, C++, etc. ), Excellent presentation, communication and collaboration skills, Ability to work independently and with a cross-functional team, Comfortable multi-tasking in a fast-paced environment with changing requirements, analytical and problem-solving skills
Nice to Have
Solid understanding of Slurm, data sciences, NVIDIA GPUs and software libraries, Work experience within an engineering or research community, A computer architecture, software engineering, or data science foundation, Academic or industry familiarity with GPUs, AI, CUDA, or related technologies, data center infrastructure experience, from hardware up through technology stack
What You'll Do.
Contributing member of the OEM AI Factory SA team
Acquire insight into various facets of AI Factories deployments
Collaborating with solution architects
engineering or product teams
Understanding technical needs of partners and customers
Developing proof of concept projects with NVIDIA technologies
Assisting with key takeaways
documenting and sharing
Educating our Partners through hands-on trainings
How You'll Work.
Team & Collaboration
Collaborating with solution architects, engineering or product teams; Ability to work with a cross-functional team
Communication Scope
Excellent presentation, communication and collaboration skills
Full Job Description
In this role, you will be a contributing member of the OEM AI Factory SA team. Our work encompasses MEP (Mechanical Electrical Plumbing), Ethernet and Infiniband networking, DevOps, HPC/AI workloads, Cluster Administration and Site Reliability Engineering. You will acquire insight into various facets of AI Factories deployments. Applicants should be familiar with Linux system administration, Python, and networking concepts. Solid understanding of Slurm and data sciences is a plus. Our Team is responsible for OEM AI factory build engagements - which means that we work with our OEM partners (Dell, HPE, Lenovo and others) to use NVIDIA solutions integrated in their platforms. NVIDIA certified servers include GB200/300 NVL72, along with our software stack that assists with the deployment, configuring, validating and monitoring for the AI Factories of the future. **What you’ll be doing:** * Collaborating with solution architects, engineering or product teams! * Understanding technical needs of partners and customers * Developing proof of concept projects with NVIDIA technologies. * Assisting with key takeaways, documenting and sharing. * Educating our Partners through hands-on trainings. **What we need to see:** * BS, MS, or PhD in Computer Science, Computer Architecture, Electrical Engineering, Math, Physics, Data Science, or related technical fields (or equivalent experience) * 5+ years experience * Strong skills in one or more programming languages (Python, C, C++, etc.) * Excellent presentation, communication and collaboration skills * Ability to work independently and with a cross-functional team * Comfortable multi-tasking in a fast-paced environment with changing requirements * Strong analytical and problem-solving skills **Ways to stand out from the crowd:** * Experience with NVIDIA GPUs and software libraries * Work experience within an engineering or research community * A computer architecture, software engineering, or data science foundation * Academic or ind
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