Computer Vision Engineer

About the role

Qualcomm is hiring a Staff-level engineer to develop video and computer vision algorithms for Snapdragon-powered devices including mobile, robotics, AR/VR, and autonomous systems. You will bridge the gap between research and production by optimizing complex AI models for specific hardware architectures. This role involves technical leadership, system-level design, and cross-functional collaboration to deploy visual analytics at scale.

Key facts

What you'll do

• Research and implement video processing and computer vision pipelines from initial concept through to final production.
• Define system-level architecture and feature requirements to guide hardware and software development.
• Optimize algorithms for memory, power, bandwidth, and compute constraints on embedded platforms.
• Partner with hardware and software teams to commercialize visual analytics technologies.
• Produce technical documentation and design specifications for internal and external stakeholders.
• Mentor junior engineers and provide technical guidance across the organization.

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, or related field with 4+ years of experience; OR Master's degree with 3+ years of experience; OR PhD with 2+ years of experience.
• Expertise in computer vision and video processing algorithms.
• Understanding of SoC architecture, including accelerators, memory hierarchies, and hardware/software interfaces.
• Proficiency in Python and C/C++ for production development and on-device deployment.
• Experience with deep learning architectures and ML/CV frameworks like PyTorch, TensorFlow, ONNX, and OpenCV.
• Ability to work across algorithm, software, and hardware boundaries.
• Experience with embedded AI deployment and performance profiling tools.

Nice to have

• Master's degree in a relevant engineering field.
• 4+ years of experience in system-level product development and hardware/software optimization.
• 3+ years of experience working in large, matrixed organizations.
• 1+ year of experience in technical leadership or interacting with senior leadership.
• Familiarity with FPGA prototyping, RTL design, or hardware modeling.
• Published research, patents, or other external technical contributions.

Skills & tools

• Python, C, C++
• PyTorch, TensorFlow, ONNX, OpenCV
• SoC Architecture, Embedded AI, Performance Profiling

Practical notes

• Compensation includes a base salary range of $148,300 to $222,500, plus an annual discretionary bonus and RSU grants.
• Qualcomm is an equal opportunity employer.
• Reasonable accommodations are available for individuals with disabilities during the hiring process via disability-accomodations@qualcomm.com.
• This site is for individual applicants only; unsolicited agency submissions are not accepted.