Computer Vision Architect

Qualcomm•San Diego, CA

About The Position

Qualcomm’s Computer Vision Systems team is building the intelligence behind the world’s most advanced Snapdragon‑powered devices, from next‑gen mobile phones to autonomous vehicles, IoT, and immersive AR/VR platforms. The group’s work spans across computer vision algorithm development, CV accelerator architecture, and on‑device prototyping. If you’re passionate about shaping the future of on‑device vision processing, this is where your work will reach billions of users. We’re looking for a Computer Vision Solutions Engineer who thrives at the intersection of algorithms, hardware, and real‑world productization. You’ll help define and deliver the Snapdragon Vision API based features, enabling developers and OEMs to build breakthrough CV experiences on cutting‑edge hardware. Experience with CV hardware accelerators and OpenCV is a plus.

Requirements

Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
Minimum Qualifications: 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.

Nice To Haves

Experience with CV hardware accelerators and OpenCV is a plus.
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.
Preferred: Master's or PhD in Computer Science, Electrical Engineering, or a related discipline.

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.