Qualcomm
Computer Vision Systems Engineer
$130K–$194K
San Diego, California · On-site · Full-time · Posted Oct 13, 2026
- Experience
- Bachelor's degree: 2+ years of relevant work experience; master's degree: 1+ year; or PhD.
- Education
- Bachelor's, master's, or PhD in Computer or Electrical Engineering, Computer Science, or a related field.
About the job
Leads computer vision and video algorithm development and optimizes implementation for efficient deployment on mobile and embedded hardware.
What you'll do
- Define system and algorithm architecture, conduct standard studies, and translate features into hardware and software requirements.
- Profile and optimize algorithms and models for memory, compute, power, and bandwidth constraints.
- Collaborate with teams and customers to commercialize technologies, document designs, and provide technical guidance.
What they ask for
- Strong background in computer vision and video processing algorithms, and understanding of SoC architecture.
- Hands-on experience with modern deep learning architectures and real-time computer vision systems or embedded AI deployment.
- Strong Python and C/C++ skills for production development, optimization, and on-device deployment; experience with ML/CV frameworks.
- Experience using performance profiling tools and hardware simulators.
Nice to have
- Familiarity with hardware modeling, FPGA prototyping, or RTL design.
Pay
$129,500.00 - $194,300.00 USD base salary
Tools
Python, C/C++, PyTorch, TensorFlow, ONNX, OpenCV, FPGA, RTL
AI focus
Works with AI models and deep learning architectures, optimizing them for efficient on-device deployment.
Model-written summary · the original posting is authoritative