Computer Vision Engineer United States of America Video Systems, HW Arch

Position: Computer Vision Engineer United States of America Video Systems, HW Arch[...]
## Computer Vision Engineer San Diego, California, United States of America Apply Now Find out how well you match with this jobJob ID3094555##
** Company:
** Qualcomm Technologies, Inc.##
** Job Area:
** Engineering Group, Engineering Group  Video Systems, HW Architecture
** General

Summary:

** Qualcomm’s Computer Vision Systems team is building the intelligence behind the world’s most advanced Snapdragon‐powered devices, from next‐generation mobile phones to autonomous vehicles, IoT, robotics, and immersive AR/VR platforms. The group’s work spans computer vision and video algorithm development, mapping these algorithms to computer vision and neural‐processing accelerator architectures, and efficient on‐device implementation.

We are seeking a Staff‐level, multidisciplinary engineer with deep expertise in computer vision and image/video processing algorithms, combined with strong hardware/software co‐optimization experience. This role is ideal for someone who thrives at the intersection of cutting‐edge computer vision algorithms, AI models, and efficient hardware/software implementation applied to real‐world problems. You will own technical direction across projects, influence system‐level architecture, and drive solutions from research through production deployment.

You will work on ideas that enhance everyday life—creating lasting video memories and playback experiences,and enabling innovative devices through advanced video and computer vision technologies. You will have significant opportunities to grow, lead, and shape the future of video and computer vision at scale.
** Principal Duties and Responsibilities
*** Leverage advanced video and computer vision engineering expertise to research, design, and implement critical video processing and computer vision algorithms, including video processing, quality enhancement, and real‐time computer vision pipelines, from concept through production deployment.
* Lead system‐ and algorithm‐level architecture definition, standard studies, and feature decomposition to drive hardware and software requirements and specifications.
* Profile and optimize algorithm and model performance across memory, compute, power, and bandwidth constraints on mobile and embedded platforms.
* Collaborate closely with cross‐functional teams (hardware, software, systems, and product) and with customers to commercialize technologies and deliver best‐in‐class visual analytics experiences.
* Write clear and concise technical documentation, design specifications, and feature descriptions to guide internal teams and external partners.
* Contribute effectively in a fast‐paced, highly collaborative environment with globally distributed, cross‐functional teams.
* Provide technical mentorship and guidance to engineers across experience levels and influence technical decisions beyond the immediate team.
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* Minimum Qualifications:

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* • Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR  Master's degree in Computer or Electrical Engineering, Computer Science, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR  PhD in Computer or Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
** Qualifications
* ** Strong background in computer vision and video processing algorithms.
* Solid understanding of SoC architecture, including compute accelerators, memory hierarchies, and hardware/software interfaces.
* Hands‐on experience with modern deep learning architectures.
* Strong coding skills in Python and C/C++ for production‐quality development, optimization, and on‐device deployment, with experience using ML/CV frameworks such as PyTorch, Tensor Flow, ONNX, and OpenCV.
* Familiarity with hardware modeling, FPGA prototyping, or RTL design is a plus.
* Strong ability to work across algorithm, software, and hardware boundaries.
* Experience with real‐time computer vision systems…