Sr. Product Manager - AI Infrastructure and Solutions - TX, Austin, United States
Originally posted 28 July 2026 by the employer.
Define system-level product definitions for AMD-based solutions combining hardware and software for AI Infrastructure and Solutions.
About the role
The Sr. Product Manager - AI Infrastructure and Solutions owns the system-level product definition, integration readiness, and launch readiness for AMD-based solutions that combine hardware and software into a deployable, supportable offering. This individual contributor role focuses on translating customer and segment needs into clear, testable requirements spanning platform hardware, firmware/drivers, software stack, and ecosystem dependencies.
What you'll do
- Own system-level product definition (HW + SW).
- Author and maintain System Requirements Specifications (SRS) for solutions spanning hardware platform, firmware/driver, software stack, compatibility, manageability, and lifecycle expectations.
- Translate customer/segment needs into prioritized requirements and maintain a structured, prioritized requirements backlog.
- Lead cross-functional dependency and integration planning, identify risks, and drive tradeoff discussions.
- Set performance targets and benchmarking expectations with engineering.
- Support launch readiness and field enablement, including providing product truth to PMM and Sales.
What you'll need
- Strong systems thinking ability to connect workload requirements to hardware/software architecture and lifecycle constraints.
- Experience independently leading complex, cross-functional solution scopes across major segments (e.g., Hyperscaler AI, Enterprise, or HPC).
- Demonstrated ability to operate well in ambiguity and consistently turn it into structured decisions, documented tradeoffs, and executable plans.
- High ownership mindset to drive alignment and closure across teams without formal authority.
- Excellent written and verbal communications for executive audiences, with a track record of producing high-quality artifacts.
- Bachelor degree in Engineering, Computer Science, Computer Engineering, Electrical Engineering, or related technical field.
Nice to have
- Senior-level, cross-functional, large enterprise experience in Product Management, Solutions Product Management, Technical Product Management, or Systems Engineering roles.
- Strong working knowledge of platform/system architecture (power/thermals, topology, I/O, networking, memory, RAS).
- Strong working knowledge of firmware/driver and software stack dependencies.
- Strong working knowledge of benchmarking methodology and reproducibility.
- Demonstrated experience defining and launching system-level solutions requiring coordination across hardware, firmware, drivers, software frameworks, and partner ecosystems.
- MBA or Master’s degree in Engineering, Computer Science or related field.
Skills: AI Infrastructure, Solutions, product definition, system requirements, hardware and software
This role has been open 82 days — well above the 44-day median for Product Management roles.
Product Management · AI ML Hardware
|
Open roles in category
70
|
Median days open
44 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 | 8 | 70 |
| Median days open | 52 d | 44 d (+8 d vs this employer) |
| Median salary (USD postings) | — | $248k |
Skills observed across this category: AI Infrastructure, Solutions, product definition, system requirements, hardware and software
Who's hiring in this category
- NVIDIA · 22 open roles · median 32 d
- Qualcomm · 10 open roles · median 66 d
- AMD (this employer) · 8 open roles · median 51 d
- NXP Semiconductors · 4 open roles · median 17 d
- Analog Devices · 3 open roles · median 36 d
- SambaNova · 3 open roles · median 38 d
How we counted: 70 open Product Management (AI ML Hardware) roles from 22 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.