Director, AI Software Product Management
$198,200 - $297,400 USD yearly
Originally posted 14 September 2026 by the employer.
Drive AI software product strategy for Windows AI platforms, AI PCs, ONNX Runtime, and heterogeneous compute acceleration.
About the role
This role directs a comprehensive AI Software product strategy focused on Windows AI platforms, AI PCs, ONNX Runtime, AI frameworks, Agentic AI, and heterogeneous compute acceleration across CPU, GPU, and NPU architecture.
What you'll do
- Define and own the AI software product roadmap for AI PCs and edge AI platforms.
- Drive Qualcomm's engagement with Microsoft, ecosystem partners, framework communities, ISVs, and strategic customers.
- Lead platform differentiation initiatives covering ONNX Runtime optimization, Windows AI integration, and AI application enablement.
- Work closely with engineering teams to define software architecture priorities and investment areas.
- Drive alignment across Product Management, Engineering, Business Development, Marketing, and Program Management organizations.
- Represent Qualcomm in industry forums, partner engagements, conferences, and customer briefings.
What you'll need
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field.
- 8+ years of Product Management or related work experience.
- 5 years leading AI/ML software products or platform technologies.
- Deep expertise in AI frameworks, inference runtimes, Windows AI software architecture, and emerging Agentic AI workflows.
- Proven ability to define software roadmaps and influence cross-functional execution across engineering, business, and ecosystem teams.
- Strong executive communication and presentation skills.
Nice to have
- Strong understanding of AI inference software stacks, model deployment workflows, and optimization across CPU, GPU, and NPU accelerators.
- Deep understanding of ONNX Runtime, Windows ML, Windows AI platform architecture, and AI PC ecosystem requirements.
- Experience with PyTorch, ONNX, RoCm, Hugging Face, OpenVINO, TensorRT, CoreML, or comparable AI software frameworks.
- Strong knowledge of Generative AI, LLMs, multimodal AI, Agentic AI architectures, RAG systems, tool calling frameworks, and AI orchestration solutions.
- Understanding of compiler and runtime technologies including MLIR, graph optimization, kernel fusion, quantization, model conversion, and hardware-aware optimization.
- Experience analyzing tradeoffs among performance, accuracy, latency, memory footprint, power efficiency, and developer experience.
- Familiarity with Windows application development ecosystem and AI SDK integration models.
Skills: AI software product roadmap, AI PCs, edge AI platforms, ecosystem partners, market opportunities
This role has been open 30 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 | 63 d | 44 d (+19 d vs this employer) |
| Median salary (USD postings) | — | $248k |
Skills observed across this category: AI software product roadmap, AI PCs, edge AI platforms, ecosystem partners, market opportunities
Who's hiring in this category
- NVIDIA · 21 open roles · median 41 d
- Qualcomm (this employer) · 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.