Computer Vision Architect
Technology, Data & Digital · Software & Web Development · Software Engineering · Embedded Systems
In short
Qualcomm is looking for a Computer Vision Solutions Engineer to design and implement computer vision features using the Snapdragon Vision API, enabling developers to build CV experiences on cutting-edge hardware. This role involves collaboration with cross-functional teams and supporting the productization of CV APIs.
Responsibilities
- Lead the design and implementation of computer vision features and on-device prototyping using the Snapdragon Vision API solution.
- Support engineering teams in building, integrating, and deploying CV APIs for commercial products.
- Develop clear and thorough technical documentation, diagrams, and sample materials that showcase the capabilities of the Snapdragon Vision API for end-application developers.
- Ensure deliverables meet schedule expectations and KPI targets, proactively identifying and addressing risks.
- Collaborate closely with system, software, hardware, and product teams throughout CV feature prototyping and commercialization.
- Contribute effectively in a fast-paced, highly collaborative environment with distributed cross-functional teams.
Requirements
- Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 6+ 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 5+ 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 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
- Experience with CV hardware accelerators
- Experience with OpenCV
Desired Qualifications
- Experience with CV and ML libraries such as OpenCV, TensorFlow, and PyTorch (TorchVision), including image processing and deep learning workflows.
- Working knowledge of embedded systems and architectures, especially hardware CV accelerators.
- Experience producing high-quality API documentation and technical materials.
- Familiarity with commercial software development practices and SDLC methodologies.
Benefits
- Competitive annual discretionary bonus program
- Opportunity for annual RSU grants
- Highly competitive benefits package
#computer vision#cv#machine learning#ml#hardware architecture#snapdragon#vision api#embedded systems#iot#ar/vr
Company
Qualcomm
Job Posted
1 month ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
San Diego, United States of America
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant