Qualcomm
Computer Vision Systems Engineer
$155K–$233K
San Diego, California · On-site · Full-time · Posted Oct 2, 2026
- Experience
- Bachelor’s degree: 4+ years; Master’s degree: 3+ years; PhD: 2+ years of relevant work experience. Also requires 3–5 years of hands-on computer vision application or library development.
- Education
- Bachelor’s, Master’s, or PhD in Computer or Electrical Engineering, Computer Science, or a related field.
About the job
Designs and prototypes on-device computer vision features using the Snapdragon Vision API, supporting API integration and commercialization for products.
What you'll do
- Design and implement computer vision features and on-device prototypes using the Snapdragon Vision API.
- Support engineering teams in building, integrating, and deploying CV APIs for commercial products.
- Create technical documentation and samples, and collaborate across teams to deliver features on schedule and meet KPI targets.
What they ask for
- Strong understanding of computer vision concepts, algorithms, and deep-learning-based vision pipelines, with a track record of delivering commercial CV solutions.
- 3–5 years of hands-on experience developing computer vision applications or libraries.
- Proficiency designing and implementing products using vision APIs and established standards and best practices.
- Strong coding and debugging skills in C/C++ and Python; able to prototype and evaluate CV features on device.
Nice to have
- Experience with OpenCV, TensorFlow, and PyTorch (TorchVision), including image processing and deep learning workflows.
- Working knowledge of embedded systems and architectures, especially hardware CV accelerators.
Pay
$155,400.00 - $233,200.00 USD base salary
Tools
Snapdragon Vision API, C/C++, Python, OpenCV, TensorFlow, PyTorch (TorchVision)
AI focus
Develops computer vision features and deep-learning-based vision pipelines, with on-device prototyping and product deployment.
Model-written summary · the original posting is authoritative