Staff, Product Data Manager (PDM) AI Platforms & Systems Solutions
Teknik, data och digitalt · Produkt och design · Produktledning · Mjukvaruutveckling
I korthet
Qualcomm seeks a Staff Product Data Manager to define and deliver end-to-end AI platform products and specifications for the Windows AI ecosystem. This role requires deep expertise in AI/ML models, agentic systems, orchestration, and protocols, with a focus on on-device and hybrid AI experiences.
Ansvarsområden
- Define end-to-end hardware–software solutions for next-generation on-device and hybrid AI experiences.
- Own product strategy, definition, and lifecycle for AI platform products and specifications.
- Develop and execute plans of record, including schedules, budgets, resources, deliverables, and risks.
- Function as a central resource across systems, engineering, standards, quality, marketing, and partner teams.
- Translate emerging model, agentic, and orchestration trends into a differentiated product and specification roadmap.
- Identify gaps and opportunities through market, customer, technology, and ecosystem analysis.
- Lead the creation and validation of business cases for new AI platform products and specifications.
- Drive authoring and evolution of technical specifications and standards, and partner with standards bodies.
- Prepare and deliver technical presentations on product and specification roadmaps.
- Market new products and technologies through technical marketing channels and drive launch efforts.
- Translate customer feedback and competitive intelligence into roadmap changes.
- Direct development of complex products and new product areas independently.
- Ensure successful cross-functional collaboration by confirming KPIs, conformance criteria, and specifications are met.
- Stay current on competitors, model and agentic advances, and the Windows AI ecosystem.
Krav
- Full-time onsite work required in San Diego, CA (5 days per week).
- Deep fluency in the Windows edge-AI stack.
- Ability to translate emerging trends into a differentiated product and specification roadmap.
- Depth in AI/ML Models, Agentic Systems, Orchestration, Protocols & Standards, and Windows & Edge AI Ecosystem.
- Hands-on experience delivering Windows ecosystem-based AI products/services utilizing local AI accelerators (CPU, GPU, or NPU).
- Detailed understanding of AI-related APIs/DDIs and SDKs for edge devices (Windows preferred; Android/Mac/Linux acceptable).
- Understanding of the app-to-silicon flow of AI workloads (e.g., DirectX, WinML, OpenCL, GGML).
- Understanding of AI middleware and frameworks (e.g., llama.cpp, Ollama, AnythingLLM) and the AI application development flow.
- Understanding of LLM/VLM models in the ~1B–150B parameter range and their edge trade-offs.
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field.
- 5+ years of Product Management or related work experience.
Önskade kvalifikationer
- Advanced degree (MS or MBA) in a technical or business discipline preferred.
- Direct experience defining or shipping Windows-ecosystem AI/ML platforms, inference runtimes, agentic frameworks, or orchestration systems on local accelerators (CPU, GPU, NPU).
- Familiarity with AI middleware/frameworks (llama.cpp, Ollama, AnythingLLM) and the AI app development flow.
- Working knowledge of LLM/VLM models in the ~1B–150B range and their edge trade-offs (perf, power, latency, memory, security); Qwen, Llama, Gemma, gpt-oss families preferred.
- Experience authoring or contributing to technical specifications, protocols, or industry standards.
- 3+ years working in a large, matrixed organization.
- 2+ years working with operating budgets and/or project financials.
- 2+ years negotiating third-party business agreements or partnerships.
Förmåner
- Competitive annual discretionary bonus program.
- Opportunity for annual RSU grants.
- Highly competitive benefits package designed to support success at work, at home, and at play.
- Detailed US benefits available via a link.
#AI#Machine Learning#Product Management#Windows#Edge AI#NPU#GPU#CPU#System Solutions