Senior Manager, GPU Application Engineering - CA, Santa Clara, United States
Originally posted 11 May 2026 by the employer.
Lead application engineering for AI server platforms powered by AMD Instinct Accelerators.
About the role
As Senior Manager, GPU Application Engineering at AMD, you will lead a team of engineers focused on enabling and supporting Datacenter GPU customers globally. You will partner with large-scale customers and their ODM ecosystem to bring AI server platforms powered by AMD Instinct Accelerators to market and ensure successful deployment in data centers.
What you'll do
- Manage a team of Application Engineers validating AMD GPU products within AI server platforms, supporting ODM factory operations, and enabling customer deployments. - Oversee the triage, debugging, and resolution of customer issues, coordinating with internal engineering and product teams. - Serve as the primary escalation point for customer engineering challenges, advising customers and ODM partners on AMD tools, validation methodologies, and test results. - Collaborate with ODM factory teams to develop manufacturing scripts and test programs that ensure reliability at scale. - Oversee hardware resource allocation and lead onboarding and enablement for new hires and contractors. - Contribute to the creation and review of technical presentations, training materials, and customer-facing documentation.
What you'll need
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline. - Technical leadership experience in customer-facing engineering roles within data center, GPU, cloud, or HPC environments. - Experience managing engineering teams, engaging with customers and ODM partners, and driving issue resolution. - Background in validation methodologies, debugging, and hardware resource allocation.
Nice to have
- Experience in technical customer-facing roles such as Application Engineering, Technical Account Management, or Solutions Architecture. - Understanding of AMD GPU architecture, ROCm software stack, and performance optimization strategies. - Experience supporting large-scale deployments in Cloud or HPC settings. - Familiarity with customer engagement workflows including onboarding, triage, and escalation. - Experience in hiring, onboarding, and mentoring technical talent.
Skills: customer-facing engineering, datacenter GPU, AI server platforms, ODM ecosystem, issue resolution
This role has been open 165 days — well above the 52-day median for Applications FAE roles.
Applications FAE · AI ML Hardware
|
Open roles in category
102
|
Median days open
52 d
|
Median salary
$230k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (102 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 13 | 102 |
| Median days open | 51 d | 52 d (−1 d vs this employer) |
| Median salary (USD postings) | — | $230k |
Skills observed across this category: customer-facing engineering, datacenter GPU, AI server platforms, ODM ecosystem, issue resolution
Who's hiring in this category
- NVIDIA · 58 open roles · median 52 d
- AMD (this employer) · 13 open roles · median 50 d
- Tenstorrent · 8 open roles · median 37 d
- Qualcomm · 4 open roles · median 57 d
- Intel Corporation · 3 open roles · median 8 d
- GlobalFoundries · 2 open roles · median 43 d
How we counted: 102 open Applications FAE (AI ML Hardware) roles from 19 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.