Solutions Architect, AI Infrastructure Build Readiness - Enablement - CA, Santa Clara, United States
$152,000 - $287,500 USD yearly
Originally posted 19 October 2026 by the employer.
About the role
NVIDIA is seeking a Solutions Architect to join the AI Infrastructure Build Readiness - Enablement team, supporting customer-facing technical engagements and connecting real-world workloads to NVIDIA's hardware and software ecosystem. The role supports OEM and deployment partners with architecture validation, technical enablement, and readiness frameworks for bringing up AI Factory infrastructure.
What you'll do
- Support technical engagements with OEM and deployment partners to evaluate workloads and map them to NVIDIA's technology stack under guidance from senior team members. - Contribute to the design and validation of scalable architectures, assisting with integration plans and deployment approaches. - Build, test, and validate hands-on solutions that help OEM and deployment partners deploy and scale NVIDIA platforms. - Help document partner technical feedback and relay field insights back to internal product and engineering teams. - Assist customers and partners in troubleshooting issues and navigating NVIDIA tools, SDKs, and platforms. - Support AI Factory build readiness initiatives by contributing to enablement programs, deployment guides, and readiness frameworks for NVIDIA AI infrastructure.
What you'll need
- Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field. - 5+ years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or a related technical field, including hands-on exposure to infrastructure architecture, data center deployment, or large-scale AI/HPC systems. - Foundational technical knowledge in high-performance computing, AI/ML, data center infrastructure, rack-scale AI infrastructure, or large-scale GPU systems. - Experience working with OEM, ODM, system integrator, or deployment partner ecosystems to support partner enablement, technical field engagement, or platform adoption. - Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms. - Experience working with services, field engineering, professional services, manufacturing partners, or deployment services teams, with the ability to travel periodically (10–20%).
Skills: Solutions Architect, OEM enablement, AI infrastructure, GPU systems, data center
This role has been open 0 days — well below the 48-day median for Applications FAE roles.
Applications FAE · AI ML Hardware
|
Open roles in category
101
|
Median days open
48 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (101 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 60 | 101 |
| Median days open | 48 d | 48 d (same as this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: Solutions Architect, OEM enablement, AI infrastructure, GPU systems, data center
Who's hiring in this category
- NVIDIA (this employer) · 59 open roles · median 48 d
- AMD · 11 open roles · median 62 d
- Tenstorrent · 9 open roles · median 33 d
- Qualcomm · 4 open roles · median 53 d
- Intel Corporation · 2 open roles · median 18 d
- Microchip Technology · 2 open roles · median 32 d
How we counted: 101 open Applications FAE (AI ML Hardware) roles from 19 employers tracked in the SemiconductorJobs index, counted 20 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.