Senior Solutions Architect, NVIDIA AI Factory Infrastructure
NVIDIA is hiring a Senior Solutions Architect, NVIDIA AI Factory Infrastructure in Santa Clara, United States. It pays $184k-$288k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- On Level's scale, this solutions architect role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The listed pay starts 9% above the typical solutions architect posting on Level.
- Tools and skills the posting cites include Nvidia AI Factory, Hpc and solutions architecture.
- Level lists 2,600+ other open roles at NVIDIA.
- The role was posted within the past week.
AI in this role
Drive technical engagements as a solutions architect helping enterprises design and scale AI factory and high-performance computing infrastructure.
We’re hiring a Senior Solutions Architect to drive technical engagement with NVIDIA customers across AI Factory teams . In this role, you’ll connect real-world customer workloads to NVIDIA’s reference architecture ecosystem, helping developers and enterprises adopt and scale our platforms. We’re looking for someone with strong technical depth who can serve as a trusted advisor, bridge complex challenges to innovative solutions, and grow into a strategic resource for the customers and partners you support. If you’re passionate about applied technology and enabling others to succeed with advanced platforms, we’d love to hear from you!
What you’ll be doing:
- Serve as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes.
- Co-design advanced, scalable architectures with customers , defining technical direction, integration achievements, and deployment plans.
- Engage hands-on with deep technical topics—designing, validating, and supporting solutions that enable customer success.
- Lead technical engagements, helping customers resolve sophisticated issues, and advocate for their technical needs.
- Partner multi-functionally with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions.
- Be a technical specialist on NVIDIA products, directly supporting sales account managers to secure build wins.
- Actively establish and cultivate technical relationships with engineers, management, and architects at key customer accounts.
What we need to see:
- Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
- 8+ years of professional experience in Industry background spanning software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management — with 3-5+ years of direct, hands-on experience in DataCenter design and architecture
- Deep technical expertise in AI High Performance Computing with a track record of driving product integrations and contributing to software or hardware platforms, systems, and libraries.
- Shown ability to communicate sophisticated technical ideas clearly to both technical and non-technical audiences, from engineers to C-level executives.
- Strong problem-solving skills, intellectual curiosity, and a dedication to helping customers succeed.
- Proven success in balancing insight for customer’s needs with the ability to drive complex product decisions through positive relationships.
Ways to Stand Out from the Crowd:
- A hands-on technical expert and problem solver who can clearly describe solution paths for complex challenges.
- History of enabling customers and/or partners to optimally adopt NVIDIA technologies and platforms.
- A technical vision that influences product and engineering decisions and drives production outcomes.
- Practical knowledge of NVIDIA systems technology, such as DGX, NVL72, MGX and HGX systems, is a huge plus.
- Experience working with OEMs the Datacenter ecosystem, and understanding of DC power / cooling and rack placements.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.How we rate this
Senior Solutions Architect, NVIDIA AI Factory Infrastructure at NVIDIA rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in solutions architect jobs at this level
Pay
- This job starts at
- $184k
- Typical solutions architect job
- $169k
This posting starts 9% above the typical solutions architect job. See solutions architect jobs
Questions you could be asked
- Tell me about a project where solutions architecture was part of your work. What did you do?
- Tell me about a project where datacenter design was part of your work. What did you do?
- Tell me about a project where ai infrastructure was part of your work. What did you do?
- Tell me about a project where high performance computing was part of your work. What did you do?
- Tell me about a project where customer engagement was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Solutions Architecture, Datacenter Design, AI Infrastructure, High Performance Computing, and Customer Engagement. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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