Hiring: Computer Vision Engineer Company: Qualcomm Location: San Diego, CA Job Posted Time: 2026-09-12 14:47:20 Target Skills & Keywords : C, C++, CV, Computer Vision, Deep Learning, Embedded Systems, FPGA, ONNX, OpenCV, PyTorch, Python, SOC, Systems Design, Systems Engineering, Systems Integration, TensorFlow About the job Experience: •4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. •3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. •2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. •4+ years of experience developing and implementing computer vision and video algorithms within system‑level products. •4+ years of experience with system design, system integration, and hardware/software optimization. Required Skills: •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. 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. •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 frameworks such as PyTorch, TensorFlow, ONNX, and OpenCV. •Operational familiarity with hardware modeling, FPGA prototyping, or RTL design is a plus. •Strong ability to work across algorithm, software, and hardware boundaries. •Works independently with minimal supervision. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!