Director, Vision & Camera Platforms — Edge AI Leader

QUALCOMM, Inc.; San Diego (CA); Sur place; USD 198 000 - 297 000; Plein temps

Avantages offerts par ce poste

Competitive benefits package

Discretionary bonus & RSU program

Résumé du poste

Qualcomm Technologies, Inc. is seeking a Director of Product Management to own the strategy, roadmap, and growth of its camera and machine-vision portfolio in San Diego.

You will define differentiated platforms spanning cameras, ISP, CV, Edge AI, and IoT endpoints, and work with OEMs, ISVs, and partners to drive adoption across industrial, retail, and smart-city applications. The role requires extensive leadership, deep technical insight into imaging and AI workloads, and the ability to

Qualifications

• 8+ years of Product Management or related work experience.
• Strong ownership of product strategy, roadmaps, and launches.
• Experience working with camera/vision hardware or software is a plus.

Responsabilités

• Own multi-generation product roadmap and lifecycle for machine-vision products.
• Define tiers for smart cameras, vision endpoints, and AI-enabled devices.
• Translate market needs into hardware/software requirements across sensors, ISP, CV, and AI workloads.
• Lead ecosystem partnerships and drive design-wins from concept to launch.

Connaissances

Product management

Cross-functional leadership

Strategic planning

Customer engagement

Formation

Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field

Advanced degree substitutions (Master’s/Doctorate) allowed for up to two years experience

Description du poste

Qualcomm Technologies, Inc. is seeking a Director of Product Management to own the strategy, roadmap, and growth of its camera and machine-vision portfolio in San Diego.

You will define differentiated platforms spanning cameras, ISP, CV, Edge AI, and IoT endpoints, and work with OEMs, ISVs, and partners to drive adoption across industrial, retail, and smart-city applications. The role requires extensive leadership, deep technical insight into imaging and AI workloads, and the ability to