Computer Vision Architect

Company:

Qualcomm Technologies, Inc.

Engineering Group, Engineering Group >
Video Systems, HW Architecture

General

Summary:

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.

• 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.

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
• Preferred:
  Master’s or PhD in Computer Science, Electrical Engineering, or a related discipline.

• 3–5 years of hands‑on experience developing computer vision applications or libraries.
• Strong understanding of CV concepts, algorithms, and deep‑learning‑based vision pipelines, with a track record of delivering commercial CV solutions.
• Proficiency in designing and implementing products using vision APIs, following established standards and best practices.
• Strong coding and debugging skills in C/C++ and Python, with the ability to rapidly prototype and evaluate CV features on device.

• Experience with CV and ML libraries such as OpenCV, Tensor Flow, and PyTorch (Torch Vision), 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.

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

EEO / Accommodations Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. We will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

Pay range and Other Compensation & Benefits: $ - $. The pay range reflects the broad minimum to maximum for the location. Salary is one component of total compensation, which also includes a discretionary annual bonus program and potential RSU grants. Qualcomm offers a competitive benefits package. Please discuss details with your recruiter.

If you would like more information about this role, please contact Qualcomm Careers.