Solutions Architect - OEM AI Factory Infrastructure

NVIDIA; Santa Clara (CA); On-site; USD 152,000 - 287,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is looking for a qualified individual to join the OEM AI Factory team in Santa Clara, CA. This position focuses on MEP, networking, DevOps, and AI workloads, requiring strong familiarity with Linux and Python.

Candidates should have 5+ years of experience and a relevant degree. The salary ranges from USD 152,000 to 287,500 based on level and experience. Additional equity and benefits are offered.

Qualifications

• 5+ years experience in a relevant field.
• Strong skills in one or more programming languages (Python, C, C++).
• Excellent presentation and communication skills.

Responsibilities

• Collaborating with solution architects and product teams.
• Developing proof of concept projects with NVIDIA technologies.
• Educating partners through hands-on training.

Skills

Linux system administration

Python

Networking concepts

Slurm

Education

BS, MS, or PhD in Computer Science or related field

Tools

NVIDIA GPUs

CUDA

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 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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.