Computer Vision Systems Engineer

What you'll do

• Lead the design and implementation of computer vision features using the Snapdragon Vision API.
• Perform on-device prototyping to evaluate and validate new computer vision features.
• Support engineering teams in building, integrating, and deploying CV APIs for commercial products.
• Develop technical documentation, diagrams, and sample materials for end-application developers.
• Ensure all deliverables meet project schedules and specific KPI targets.
• Identify and address technical risks throughout the CV feature prototyping and commercialization process.

What we're looking for

• Bachelor's degree and 4+ years of experience in Software, Hardware, or Systems Engineering.
• Master's degree and 3+ years of experience in Software, Hardware, or Systems Engineering.
• PhD and 2+ years of experience in Software, Hardware, or Systems Engineering.
• Strong understanding of CV concepts, algorithms, and deep-learning-based vision pipelines with a track record of commercial delivery.
• 3–5 years of hands-on experience developing computer vision applications or libraries.
• Proficiency in designing and implementing products using vision APIs following established standards.
• Strong coding and debugging skills in C/C++ and Python for rapid prototyping and evaluation.
• Experience with CV/ML libraries like OpenCV, TensorFlow, or PyTorch (preferred).