Solutions Architect - OEM AI Factory Infrastructure
About The Position
The Solutions Architect will contribute to the OEM AI Factory Solutions Architect team, supporting OEM AI Factory build engagements. The team works with OEM partners such as Dell, HPE, and Lenovo to integrate NVIDIA solutions into their platforms. These deployments span mechanical, electrical, and plumbing systems; Ethernet and InfiniBand networking; DevOps; HPC and AI workloads; cluster administration; and site reliability engineering. The role offers exposure to different facets of AI Factory deployments and NVIDIA-certified servers, including GB200/300 NVL72 systems, as well as software for deployment, configuration, validation, and monitoring. The architect collaborates with solution architects, engineering, and product teams; understands partner and customer technical needs; develops proof-of-concept projects using NVIDIA technologies; documents and shares key takeaways; and delivers hands-on training to partners.
Requirements
- Bachelor’s, master’s, or PhD in Computer Science, Computer Architecture, Electrical Engineering, Mathematics, Physics, Data Science, or a related technical field, or equivalent experience.
- At least 5 years of experience.
- Strong skills in one or more programming languages, such as Python, C, or C++.
- Excellent presentation, communication, and collaboration skills.
- Ability to work independently and with a cross-functional team.
- Comfort multitasking in a fast-paced environment with changing requirements.
- Strong analytical and problem-solving skills.
- Familiarity with Linux system administration, Python, and networking concepts.
Nice To Haves
- Solid understanding of Slurm and data sciences.
- Experience with NVIDIA GPUs and software libraries.
- Work experience within an engineering or research community.
- A foundation in computer architecture, software engineering, or data science.
- Academic or industry familiarity with GPUs, AI, CUDA, or related technologies.
- Ability and eagerness to explore unfamiliar areas and solve problems, drawing on experience with data center infrastructure from hardware through the technology stack.
Responsibilities
- Collaborate with solution architects, engineering teams, and product teams.
- Understand the technical needs of partners and customers.
- Develop proof-of-concept projects using NVIDIA technologies.
- Document and share key takeaways.
- Educate partners through hands-on training.
Benefits
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
