Senior Solutions Architect, Enterprise AI Factories
Company websitenvidia.com (NVIDIA, opens in new tab)
Base salary $152,000 to $287,500
Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA +3 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSanta Clara, CA +3 more
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (24 min ago) · observed since
All 4 locations
- US, CA, Santa Clara
- US, NC, Remote
- US, TX, Remote
- US, CA, Remote
About this job
We’re hiring a Senior Solutions Architect to drive technical engagement with NVIDIA partners, OEMs, and customers across NVIDIA AI Factory solutions, focusing on on-premises enterprise solutions. In this role, you’ll connect real-world customer workloads to NVIDIA’s hardware and software 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 excited 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 NVIDIA integration partners, select OEMs, and key end customers, defining technical direction, integration milestones, and deployment plans.
- Engage hands-on with deep technical topics—designing, validating, and supporting solutions that enable customer success.
- Identify gaps between customer and partner needs and NVIDIA offerings, communicating insights that shape internal product and engineering priorities.
- Lead technical engagements, helping customers troubleshoot, resolve complex issues, and advocate for their technical needs.
- Drive technical enablement and platform adoption, helping developers and enterprises integrate NVIDIA SDKs, frameworks, and systems.
- Partner cross-functionally with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions.
- Become an authority who builds and shares knowledge and infrastructure insights for NVIDIA platforms.
- Act as a resource to help tailor on-premises solutions to specific environments and workloads while balancing risk, performance, and supportability needs.
- Be hands-on, and a voice of experience. This role is for those who thrive by gaining real experience and using that to help accelerate others.
What we need to see:
- Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
- 5+ 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 compute, networking, and storage hardware and software platforms.
- Deep technical expertise in system management software, operating systems, system firmware, and all the hardware infrastructure that goes with it when deployed at scale, with a track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries.
- Demonstrated ability to communicate complex technical ideas clearly to both technical and non-technical audiences, from engineers to C-level executives.
- Strong problem-solving skills, intellectual curiosity, and a commitment to helping customers succeed.
- A track record of balancing empathy for partner and customer needs with the ability to drive complex product decisions through trusted relationships.
- Hands-on experience with deploying, using, and operating on-premises AI-focused solutions, including system architectures, rack-scale firmware, cluster management software, workload management software, and the associated hardware that underlies it. If you are motivated by sharing how hardware, firmware, and software all work together to build a platform, this is the role for you.
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 successfully adopt NVIDIA technologies and platforms.
- A technical vision that influences product and engineering decisions and drives production outcomes.
- Real-world experience with cluster management tools (e.g., NVIDIA Base Command Manager, MaaS), workload orchestration software (e.g., Slurm, Kubernetes).
- Practical knowledge of system and rack-scale hardware, such as BMCs, PCIe communication, network topologies, and how they all interact.
We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and industry events. We are open to remote work locations!
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: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 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.Source: NVIDIA on Workday · View original posting (opens in new tab)
This listingSenior Solutions Architect, Enterprise AI Factories$152,000 to $287,500
Senior Networking Architect$152,000 to $287,500
Senior Product Quality Engineer, Board – Automotive$148,000 to $287,500
Solutions Architect, AI and ML$152,000 to $287,500
Infrastructure Solutions Architect - OEM$152,000 to $287,500
Senior Solutions Architect, First Time Deployment Networking Spectrum-X - NVIS$148,000 to $235,750
Senior Software Engineer, CUTLASS Performance$152,000 to $287,500
Chart as a table
| Role | Published base |
|---|---|
| Senior Solutions Architect, Enterprise AI Factories (this listing) | $152,000 - $287,500 |
| Senior Networking Architect | $152,000 - $287,500 |
| Senior Product Quality Engineer, Board – Automotive | $148,000 - $287,500 |
| Solutions Architect, AI and ML | $152,000 - $287,500 |
| Infrastructure Solutions Architect - OEM | $152,000 - $287,500 |
| Senior Solutions Architect, First Time Deployment Networking Spectrum-X - NVIS | $148,000 - $235,750 |
| Senior Software Engineer, CUTLASS Performance | $152,000 - $287,500 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-30
Where this pay comes from
Location as the employer wrote it: Multiple locations (4) (Levels 3-4 combined)
152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
