Solutions Architect - OEM AI Factory Infrastructure

NVIDIA; Santa Clara (CA); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking experienced professionals for its OEM AI Factory SA team in Santa Clara, California. This role involves collaborating with partners to integrate NVIDIA's cutting-edge solutions in various AI factories. Ideal candidates will have 5+ years of experience in relevant technical fields and strong programming skills in languages like Python and C++. The position offers a salary range based on experience and location, along with equity and benefits.

Qualifications

• 5+ years of experience in a relevant field.
• Strong skills in one or more programming languages such as Python, C, or C++.
• Excellent communication and collaboration abilities.
• Ability to work independently and adapt in a dynamic environment.

Responsibilities

• Collaborate with solution architects and product teams.
• Develop proof‑of‑concept projects with NVIDIA technologies.
• Educate partners through hands-on training.

Skills

Linux system administration

Python

Networking concepts

Programming languages (C, C++)

Analytical skills

Problem-solving skills

Collaboration skills

Presentation skills

Education

BS, MS, or PhD in a relevant field

Tools

NVIDIA GPUs and software libraries

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 – working with OEM partners (Dell, HPE, Lenovo, and others) to integrate NVIDIA solutions in their platforms. NVIDIA‑certified servers include GB200/300 NVL72, along with our software stack that assists with deployment, configuration, validation, 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 training.

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 of 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.
• 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 the 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–$241,500 for Level 3, and $184,000–$287,500 for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 9, 2026.

NVIDIA is committed to fostering a diverse work environment and proudly an equal‑opportunity employer. We do not discriminate 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.