Computer Vision API Solution Architect

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group  Video Systems, HW Architecture

General

Summary:

Qualcomm Computer Vision Systems group provides Vision IP solutions for all of Qualcomm’s Snapdragon processors including mobile, automotive and VR/AR. The team’s scope includes computer vision algorithms, architecture design for CV accelerators and hardware modeling with power and performance optimization.

We seek a Vision API solution architect with demonstrable expertise, hands‑on experience and a proven track record of developing and commercializing Computer Vision applications, libraries and SDKs. Familiarity with CV HW accelerators is beneficial although not mandatory.

The selected candidate, along with his/her colleagues and other team members, will have responsibilities in one or more of the following areas:

• Drive the overall design & implement Computer Vision APIs as part of the Snapdragon Vision API Suite.

• Guide development teams in developing and deploying Computer Vision APIs and API-based applications commercially.

• Create comprehensive technical documentation, diagrams, and examples outlining the APIs and highlighting the benefits to end applications.

• Ensure solutions meet project timelines and KPI standards, while mitigating and addressing any potential schedule risks.

• Collaborate with systems, software, hardware, and product teams at various stages of API design/validation/commercialization.

• Work within a fast‑paced & collaborative environment with geographically & functionally distributed teams.

Qualifications

•

Required:

Bachelors in Computer Science and/or Electrical Engineering.

• Preferred:
Masters or Doctorate, Computer Science and/or Electrical Engineering.

Minimum Skills

• A minimum of 3-5 years of hands‑on experience in a technical role focused on computer‑vision applications and/or library development.

• The candidate must demonstrate a deep understanding of computer vision concepts, techniques, and algorithms, including deep‑learning based vision pipelines, and proven experience in delivering commercial computer vision solutions.

• The candidate must demonstrate proficiency in API design principles, standards, and best practices to create efficient, scalable, and user‑friendly APIs.

• Proficiency in C/C++/Python coding and debugging with an ability to quickly build and evaluate API prototypes.

Preferred Skills

• Familiarity with computer vision libraries like OpenCV, Tensor Flow, Pytorch (Torch Vision) with hands‑on experience in image processing, machine learning, and deep learning technologies.

• Working knowledge of Embedded systems and architectures, preferably Hardware CV accelerators.

• Familiarity with API documentation standards, with substantial experience in writing comprehensive documentation to clearly articulate technical concepts and details.

• Working knowledge of Commercial Software development and SDLC processes.

Minimum Qualifications

• Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

• Master's degree in Computer or Electrical Engineering, Computer Science, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

• Ph.D. in Computer or Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e‑mail disability‑ or call Qualcomm's toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.

Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations…