Position full-stack AI infrastructure spanning data center GPUs, MGX, and NVL rack-scale platforms.
Originally posted 6 November 2026 by the employer.
About the role
This role leads product marketing and go-to-market execution for AI infrastructure solutions spanning GPUs, rack-scale platforms, and AI factories. Scope covers messaging across data center GPUs, MGX and NVL platforms, and full-stack co-design elements including compute, networking, power, and cooling.
What you'll do
- Execute product marketing and go-to-market launches across data center GPUs, MGX and NVL platforms, and AI factory reference designs.
- Build positioning that connects silicon to system to data center, translating GPU, CPU, DPU, and networking capabilities into rack-level and factory-level outcomes.
- Collaborate with Engineering, Sales, Creative, and Product Management to create web content, launch materials, keynote content, and marketing assets for agentic AI and high-performance computing applications.
- Develop and defend performance and efficiency claims across datasheets, press releases, and keynotes.
- Support press briefings, analyst engagements, and executive content, producing messaging documents, Q&As, and FAQs for technical audiences.
- Partner with OEM, ODM, cloud, and ecosystem teams on joint positioning, highlighting tokens per dollar and performance per watt economics.
What you'll need
- Bachelor’s or Master’s degree in engineering (or equivalent experience).
- 12+ years of relevant work experience.
- Background and prior work experience in data center marketing or the AI infrastructure space.
- Working knowledge of data center infrastructure beyond the accelerator, including rack architecture, power delivery, cooling, and interconnect constraints.
- Demonstrated experience engaging with engineering teams to extract technical value propositions and translate AI factory concepts for technical and business audiences.
- Experience developing technical claims and competitive positioning.
Skills: Product Marketing, AI Infrastructure, Data Center GPUs, Go-to-Market
More semiconductor jobs: NVIDIA jobs · California jobs
This role has been open 0 days — well below the 60-day median for Product Marketing roles.
Product Marketing · AI ML Hardware
|
Open roles in category
39
|
Median days open
60 d
|
Category median salary (all employers)
$219k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (39 roles · 21 employers) |
|---|---|---|
| Open roles in this specialty | 8 | 39 |
| Median days open | 63 d | 60 d (+3 d vs this employer) |
| Median salary (USD postings) | — | $219k |
Skills observed across this category: Product Marketing, AI Infrastructure, Data Center GPUs, Go-to-Market
Who's hiring in this category
- AMD · 7 open roles · median 14 d
- NVIDIA (this employer) · 7 open roles · median 73 d
- SambaNova · 3 open roles · median 44 d
- Ambarella · 2 open roles · median 74 d
- Arm Holdings · 2 open roles · median 6 d
- FuriosaAI · 2 open roles · median 103 d
How we counted: 39 open Product Marketing (AI ML Hardware) roles from 21 employers tracked in the SemiconductorJobs index, counted 7 Nov 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.