Solutions Architect, OEM AI Factory Infrastructure

NVIDIA • Us, CA

1d

About The Position

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.

Requirements

• 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

Nice To Haves

• 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 industry familiarity with GPUs, AI, CUDA, or related technologies
• Ability and eagerness to dig into unfamiliar territories to take on problems relying on experience from previous work with data center infrastructure experience, from hardware up through technology stack

Responsibilities

• 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.

Benefits

• equity
• benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level