Senior Product Manager – Local AI GPUs - CA, Santa Clara, United States
$168,000 - $327,750 USD yearly
Originally posted 5 October 2026 by the employer.
About the role
This role involves turning developer, researcher, and enterprise needs into product requirements for personal AI systems, focusing on defining, building, and launching GPU products for Local AI. The position will specifically build GPU architectures, platform integration, and go-to-market strategy for agentic AI and simulation workloads running on Local AI platforms.
What you'll do
- Own the full product lifecycle for Local AI offerings, including architecture definition, feature prioritization, roadmap, launch, and scale-out adoption.
- Define hardware, system, and software requirements across compute, networking, storage, and security.
- Translate real workloads into targets for model capacity, latency, efficiency, memory, bandwidth, power, and cost.
- Study developer workflows on Windows and Linux, including how models and inference frameworks run on NVIDIA platforms.
- Partner with OEMs and customers to capture requirements, validate builds, and ensure platform success.
- Conduct market and competitive analysis to drive GPU, interconnect, and system strategy.
- Drive alignment with engineering, architecture, operations, and supply chain teams to deliver products.
- Build technical collateral (white papers, briefs, specifications, solution guides) and support customer-facing engagements.
What you'll need
- 8+ years in product management, with experience in compute products, AI/ML, developer tools, or infrastructure products.
- Strong understanding of AI accelerator architectures and factors affecting AI inference performance.
- Proven ability to take products from concept to launch and customer adoption at scale.
- Strong product judgement with capacity to make clear tradeoffs among performance, memory capacity, power, cost, and user experience.
- Strong mix of technical depth and strategic/business insight, highly analytical, and able to balance multiple projects.
- Excellent communication skills and ability to work cross-functionally across engineering, operations, and customer teams.
- Bachelor's Degree or equivalent experience.
Nice to have
- Hands-on experience with local AI workloads and agents.
- Familiarity with enterprise AI deployment challenges and needs.
- Demonstrated success defining and positioning hardware/software compute platforms.
Skills: product lifecycle, Local AI, GPU architectures, market analysis, roadmap
This role has been open 0 days — well below the 41-day median for Product Management roles.
Product Management · AI ML Hardware
|
Open roles in category
67
|
Median days open
41 d
|
Median salary
$248k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (67 roles · 21 employers) |
|---|---|---|
| Open roles in this specialty | 20 | 67 |
| Median days open | 38 d | 41 d (−3 d vs this employer) |
| Median salary (USD postings) | — | $248k |
Skills observed across this category: product lifecycle, Local AI, GPU architectures, market analysis, roadmap
Who's hiring in this category
- NVIDIA (this employer) · 19 open roles · median 41 d
- Qualcomm · 10 open roles · median 54 d
- AMD · 8 open roles · median 39 d
- Micron Technology · 5 open roles · median 53 d
- Analog Devices · 3 open roles · median 24 d
- NXP Semiconductors · 3 open roles · median 6 d
How we counted: 67 open Product Management (AI ML Hardware) roles from 21 employers tracked in the SemiconductorJobs index, counted 6 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.