$184,000 - $356,500 USD yearly
Originally posted 28 August 2026 by the employer.
About the role
This role involves bridging the gap between the design and deployment of large-scale AI and HPC GPU infrastructure, focusing on bringing GenAI, AI, and ML hardware and software technologies to production for NVIDIA Cloud Partners.
What you'll do
- Collaborate with NVIDIA Cloud Partners to implement NVIDIA's hardware and software solutions.
- Partner with Sales Account Managers to identify business opportunities for NVIDIA products.
- Act as the primary technical support for customers on GPU cloud infrastructure throughout the customer lifecycle.
- Conduct technical customer meetings for project details, feature discussions, and debugging sessions.
- Build PoCs for solutions to address business needs by developing networking and compute infrastructure.
- Prepare and deliver technical content to customers, including presentations and workshops.
What you'll need
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
- 7+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering) experience working directly with partners and customers.
- Experience crafting and deploying large-scale cluster environments.
- Practical expertise in data center design, development, and execution for AI and HPC.
- Efficient time management and ability to balance multiple tasks.
- Ability to communicate ideas clearly through documents and presentations.
Skills: Solutions Architect, GPU infrastructure, technical support for customers, PoCs for solutions, technical content to customers
This role has been open 50 days — slightly above the 46-day median for Applications FAE roles.
Applications FAE · AI ML Hardware
|
Open roles in category
102
|
Median days open
46 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 (102 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 59 | 102 |
| Median days open | 46 d | 46 d (same as this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: Solutions Architect, GPU infrastructure, technical support for customers, PoCs for solutions, technical content to customers
Who's hiring in this category
- NVIDIA (this employer) · 59 open roles · median 46 d
- AMD · 11 open roles · median 60 d
- Tenstorrent · 9 open roles · median 31 d
- Qualcomm · 4 open roles · median 51 d
- NXP Semiconductors · 3 open roles · median 39 d
- Intel Corporation · 2 open roles · median 16 d
How we counted: 102 open Applications FAE (AI ML Hardware) roles from 19 employers tracked in the SemiconductorJobs index, counted 18 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.