Senior Director, Product Management (Datacenter GPU) - San Diego, California, United States of America
$237,800 - $356,800 USD yearly
Originally posted 28 September 2026 by the employer.
About the role
This role involves leading the GPU platform product strategy and lifecycle, with an emphasis on the datacenter market segment. The position focuses on defining and delivering differentiated GPU technologies that scale across multiple end markets, particularly for datacenter, edge, and mobile platforms.
What you'll do
- Own the end-to-end GPU platform product strategy and lifecycle from architectural definition through commercialization.
- Guide the development of GPU capabilities spanning AI acceleration and power-efficient system integration.
- Serve as the central product leadership point for GPU platforms, collaborating across architecture, hardware, software, tools, and ecosystem organizations.
- Define and execute multi-year GPU technology strategy and product roadmaps for AI-centric data center platforms and rack level systems.
- Drive engagement with developers, ISVs, OEMs, and strategic partners for robust enablement and software support for GPU platforms.
- Partner with business unit leadership to derive product requirements, craft market and competitive positioning, and launch plans.
What you'll need
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field.
- 10+ years of Product Management or related work experience.
Nice to have
- 10 years of experience in GPU, compute platforms, graphics, AI acceleration, or related semiconductor or systems industries.
- 5 years of leadership experience.
- Deep system-level knowledge of AI accelerators, CPU/GPU architectures, interconnect fabrics (PCIe, CXL, UAL), memory hierarchies, storage subsystems, and rack-level system design.
- Expert knowledge of GPU hardware architecture, datacenter scale systems, heterogeneous system architectures, software stacks, APIs, and AI/ML algorithm and acceleration trends.
- Direct experience with AI frameworks (TensorFlow, PyTorch), compilers and optimization toolchains.
- 6 years of working in a large matrixed organization.
Skills: GPU platform product strategy, datacenter market segment, AI acceleration, product roadmaps, go-to-market strategies
This role has been open 12 days — well 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 | Qualcomm | All employers we track in this specialty (66 roles · 21 employers) |
|---|---|---|
| Open roles in this specialty | 10 | 66 |
| Median days open | 59 d | 44 d (+15 d vs this employer) |
| Median salary (USD postings) | — | $248k |
Skills observed across this category: GPU platform product strategy, datacenter market segment, AI acceleration, product roadmaps, go-to-market strategies
Who's hiring in this category
- NVIDIA · 20 open roles · median 37 d
- Qualcomm (this employer) · 10 open roles · median 58 d
- AMD · 7 open roles · median 43 d
- Micron Technology · 4 open roles · median 65 d
- Analog Devices · 3 open roles · median 28 d
- NXP Semiconductors · 3 open roles · median 10 d
How we counted: 66 open Product Management (AI ML Hardware) roles from 21 employers tracked in the SemiconductorJobs index, counted 10 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.