Technical Marketing Engineer – Datacenter GPU Clusters & Networking - CA, Santa Clara, United States
Originally posted 12 May 2026 by the employer.
Technical enablement and reference architecture role focused on AMD Instinct GPU clusters and high-speed datacenter fabrics.
About the role
As a Technical Marketing Engineer within the Software Product Management organization for AMD’s Data Center GPU Business Unit, you will support customer engagement, education, deployment, scaling, and optimization of AMD Instinct-powered data center GPU solutions. You will help customers, partners, and internal teams understand how to design, deploy, and operate AMD-powered GPU clusters and networks across HPC and AI workloads.
What you'll do
- Translate internal reference designs for AMD Instinct GPU clusters into customer-ready technical briefs, reference architectures, and deployment guides. - Articulate system-level value propositions—including performance, scalability, networking, power, cooling, and TCO—for sales teams and partners engaging AI data center customers. - Create and maintain enablement assets including pitch decks, whitepapers, FAQs, competitive positioning, and architectural overviews. - Design and deliver technical training covering GPU clusters, networking fabrics, power, cooling, and data center-scale deployments for internal teams, OEMs, ODMs, CSPs, and end customers. - Partner with architecture, product management, and engineering teams to align customer-facing materials with reference designs and provide structured field feedback.
What you'll need
- BS in Computer Science, Computer Engineering, Electrical Engineering, or a related field. - Understanding of GPU-based AI clusters, including scale-up and scale-out architectures. - Hands-on knowledge of datacenter networking, including 400G/800G Ethernet, RoCE, leaf-spine topologies, and rail vs. fat-tree designs. - Familiarity with power delivery and cooling for high-density racks, including air cooling, liquid cooling, and rack-level power design. - Ability to translate complex technical content into documentation, presentations, and structured training materials.
Nice to have
- MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field. - Experience in technical marketing, systems engineering, solutions architecture, or a related role focused on datacenter infrastructure or AI platforms. - Experience working with OEMs, ODMs, or cloud service providers. - Experience with documentation and publishing workflows including Markdown, Read the Docs, and Jupyter Notebooks.
Skills: AI training workloads, GPU accelerators, distributed training frameworks, ROCm, CUDA
This role has been open 164 days — well above the 79-day median for Product Marketing roles.
Product Marketing · AI ML Hardware
|
Open roles in category
38
|
Median days open
79 d
|
Median salary
$220k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (38 roles · 20 employers) |
|---|---|---|
| Open roles in this specialty | 6 | 38 |
| Median days open | 38 d | 79 d (−41 d vs this employer) |
| Median salary (USD postings) | — | $220k |
Skills observed across this category: AI training workloads, GPU accelerators, distributed training frameworks, ROCm, CUDA
Who's hiring in this category
- AMD (this employer) · 6 open roles · median 38 d
- NVIDIA · 6 open roles · median 37 d
- SambaNova · 3 open roles · median 30 d
- Ambarella · 2 open roles · median 60 d
- FuriosaAI · 2 open roles · median 89 d
- GlobalFoundries · 2 open roles · median 123 d
How we counted: 38 open Product Marketing (AI ML Hardware) roles from 20 employers tracked in the SemiconductorJobs index, counted 24 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.