Qualcomm
Director, Product Management - Processors - Industrial & Edge AI
$198K–$297K
San Diego, California · On-site · Director · Full-time · Posted Oct 29, 2026
- Experience
- 8+ years of Product Management or related work experience; completed advanced degrees in a relevant field may substitute for up to two years (Master’s = one year, Doctorate = two years). Preferred: 15+ years of relevant experience.
- Education
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field.
About the job
Leads product definition, roadmap, and lifecycle management for processors and complete hardware platforms serving industrial and Edge AI markets, from concept through customer launch and production.
What you'll do
- Own processor product definition, roadmap, positioning, business case, pricing inputs, and lifecycle; develop MRDs and PRDs.
- Coordinate engineering and software teams to deliver SoCs, reference hardware, software enablement, and validation for customer launches.
- Translate industrial control, connectivity, machine-vision, and Edge AI workloads into platform and production requirements; support customer engagements and launches.
What they ask for
- Bachelor's degree in Engineering, Information Systems, Computer Science, or a related technical field.
- 8+ years of Product Management or related work experience; completed relevant advanced degrees may substitute for up to two years (Master’s = one year, Doctorate = two years).
Nice to have
- 15+ years of relevant experience in semiconductor product management, SoC architecture, embedded processors, or industrial systems.
- Chipset ownership through launch and lifecycle, and knowledge of heterogeneous compute, real-time processing, motor control, and industrial connectivity.
Pay
$198,200.00 - $297,400.00 USD base salary
Tools
CPU, GPU, NPU, DSP, Linux, Windows, RTOS, EtherCAT
AI focus
Defines compute, memory, vision, software, benchmark, model-performance, latency, power-efficiency, tooling, and deployment requirements for production Edge AI platforms and industrial machine-vision workloads.
Model-written summary · the original posting is authoritative