Accelerated Computing GPU Product Manager - CA, Santa Clara, United States
$168,000 - $327,750 USD yearly
Originally posted 1 September 2026 by the employer.
About the role
This individual will focus on datacenter workloads and applications, especially around Large Language Models for training and inference.
What you'll do
- Develop a deep understanding of datacenter workloads and applications, especially Large Language Models, for training and inference.
- Identify opportunities to address customer needs and translate them into GPU value propositions and product proposals.
- Collaborate cross-functionally with partners, engineering, operations, and field teams to develop comprehensive product go-to-market plans and positioning.
- Work with the sales organization to develop effective sales collateral and tools.
What you'll need
- 7+ years of experience in technology, with previous product management, AI-related engineering, design, or development experience.
- BS or MS or equivalent experience in engineering, computer science, or another technical field.
- Knowledge of and capability to explain GPU, software, and computing architectures.
- Ability to work closely with cloud partners.
Nice to have
- Strong background in developing or deploying large-scale GPU-based AI applications, such as Large Language Models, for training and inference.
- Direct experience in building or leading cloud computing infrastructure and technologies.
Skills: GPU product definition, datacenter workloads, Large Language Models, product go to market, accelerated computing
This role has been open 43 days — below the 44-day median for Product Management roles.
Product Management · AI ML Hardware
|
Open roles in category
66
|
Median days open
44 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 (66 roles · 21 employers) |
|---|---|---|
| Open roles in this specialty | 21 | 66 |
| Median days open | 30 d | 44 d (−14 d vs this employer) |
| Median salary (USD postings) | — | $248k |
Skills observed across this category: GPU product definition, datacenter workloads, Large Language Models, product go to market, accelerated computing
Who's hiring in this category
- NVIDIA (this employer) · 21 open roles · median 41 d
- Qualcomm · 10 open roles · median 63 d
- AMD · 7 open roles · median 48 d
- NXP Semiconductors · 4 open roles · median 14 d
- Analog Devices · 3 open roles · median 33 d
- Intel Corporation · 2 open roles · median 33 d
How we counted: 66 open Product Management (AI ML Hardware) roles from 21 employers tracked in the SemiconductorJobs index, counted 15 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.