Job Description
General Summary:Qualcomm's Systems group is seeking candidates for its Computer Vision team in San Diego, CA. The team develops new algorithms, hardware architectures and systems for computer vision functions running in an embedded systems targeted primarily to devices for the AR/VR, smartphone and IoT environment. We are seeking candidates with strong knowledge and hands-on experience in systems architecture and hardware development of computer vision technologies within an embedded systems hardware environment. Experience in developing real time computer vision systems is desirable. Working knowledge of problem solving of computer vision tasks using neural network processing is also a plus for this position. Candidates at different levels of experience will be considered.Responsibilities:The selected candidate will have responsibilities in one or more of the following areas:Work with other leads on design and technology development activities for computer vision systems including studying state of the art algorithms and profiling on target platforms, hardware/software partitioning of algorithms and provide architecture and specifications for hardware implementation.Come up with adaptations of existing algorithms that will enable new functionalities through hardware implementation. This work will involve close collaborations with algorithm developers, SoC architects and designers to drive to hardware development that will enable novel AR/VR experiences with state of the art advances in performance, power and silicon area.Systems and hardware architecture development will span conventional computer vision frameworks as well as neural network based frameworks for the enablement of AR/VR experiences.
Responsibilities + Skills
Education
Expertise in systems architecture and hardware design supporting computer vision and machine learning use casesExpertise in methods for partitioning a solution across hardware and software within an overall systems solution
Experience
Experience in developing hardware systems level architecture for accelerators targeted to real time computer vision tasksExperience in evaluating system and hardware block level architecture tradeoffs in throughput, latency, power and areaExcellent verbal and written communication and presentation skills