Job Summary:
Qualcomm Technologies, Inc. is building the intelligence behind advanced Snapdragon-powered devices. The Staff Computer Vision Engineer will leverage expertise in computer vision and video processing to design and implement algorithms, drive technical direction, and collaborate with cross-functional teams to enhance visual analytics experiences.
Responsibilities:
• Leverage advanced video and computer vision engineering expertise to research, design, and implement critical video processing and computer vision algorithms, including video encoder, decoder, 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:
Required:
• 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 frameworks such as PyTorch, TensorFlow, ONNX, and OpenCV.
• Strong ability to work across algorithm, software, and hardware boundaries.
• Experience with real‑time computer vision systems or embedded AI deployment.
• Experience using performance profiling tools and hardware simulators.
Preferred:
• Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
• 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.
• 4+ years of experience with programming (e.g., C, C++, Python), computer architecture, or embedded systems.
• 3+ years of experience working in a large, matrixed organization.
• 1+ year of experience interacting with senior leadership (Director level and above).
• 1+ year of experience in a technical leadership role, with or without direct reports.
• Publication, patent, or external technical contribution experience is a plus.
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.