Computer Vision Engineer

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.   Minimum Qualifications: • 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.

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