Sr. Product Manager - AI Infrastructure and Solutions - CA, Santa Clara, United States
Originally posted 29 May 2026 by the employer.
About the role
The Senior Product Manager, AI Infrastructure and Solutions owns the system-level product definition, integration readiness, and launch readiness for AMD-based solutions combining hardware and software into deployable, supportable offerings. This role translates customer and segment needs across Hyperscaler AI, Enterprise, or HPC into testable requirements spanning platform hardware, firmware/drivers, ROCm/software stacks, and ecosystem dependencies.
What you'll do
- Own system-level product definition across hardware and software by authoring and maintaining System Requirements Specifications (SRS). - Consolidate and normalize customer, Sales, OEM/ODM partner, and internal stakeholder inputs into a structured, prioritized requirements backlog with decision rationale. - Lead cross-functional dependency and integration planning across silicon/platform, firmware/drivers, ROCm/software stack, frameworks, OEM systems, and cloud images. - Define workload-level performance targets and benchmarking proof requirements tied to reproducible methodology and validated configurations. - Support launch readiness and field enablement by defining supported configurations, limitations, known issues, launch briefs, and field FAQs. - Manage post-launch feedback and escalation triage to determine whether hotfixes, point releases, or roadmap actions are required.
What you'll need
- Bachelor's degree in Engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related technical field. - Experience in Product Management, Solutions Product Management, Technical Product Management, Systems Engineering, or related technical roles. - Experience connecting workload requirements to hardware/software architecture and lifecycle constraints. - Ability to independently lead complex, cross-functional solution scopes and drive alignment across teams without formal authority. - Strong written and verbal communication skills for executive presentations, artifact production, and clear risk assessment.
Nice to have
- Master's degree or MBA in Engineering, Computer Science, or a related field. - Senior-level, cross-functional enterprise experience in data center infrastructure, AI/ML platforms, HPC systems, or integrated hardware and software products. - Working knowledge of platform/system architecture (power/thermals, topology, I/O, networking, memory, RAS) and firmware/driver dependencies. - Demonstrated experience defining and launching system-level solutions requiring coordination across hardware, firmware, drivers, software frameworks, and partner ecosystems. - Knowledge of benchmarking methodology and reproducibility.
Skills: AI infrastructure, system-level product definition, hardware/software architecture, ROCm, hyperscaler
This role has been open 149 days — well above the 45-day median for Product Management roles.
Product Management · AI ML Hardware
|
Open roles in category
70
|
Median days open
45 d
|
Median salary
$248k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (70 roles · 22 employers) |
|---|---|---|
| Open roles in this specialty | 7 | 70 |
| Median days open | 58 d | 45 d (+13 d vs this employer) |
| Median salary (USD postings) | — | $248k |
Skills observed across this category: AI infrastructure, system-level product definition, hardware/software architecture, ROCm, hyperscaler
Who's hiring in this category
- NVIDIA · 22 open roles · median 35 d
- Qualcomm · 10 open roles · median 72 d
- AMD (this employer) · 8 open roles · median 57 d
- NXP Semiconductors · 4 open roles · median 23 d
- Analog Devices · 3 open roles · median 42 d
- Micron Technology · 3 open roles · median 44 d
How we counted: 70 open Product Management (AI ML Hardware) roles from 22 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.