Computer Vision Systems Engineer

Qualcomm Technologies, Inc.

Engineering Group, Engineering Group >
Video Systems, HW Architecture

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 Systems 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 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.
• 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.

• Strong understanding of CV concepts, algorithms, and deep-learning-based vision pipelines, with a track record of delivering commercial CV solutions.
• 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 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.

• Master’s or PhD in Computer Science, Electrical Engineering, or a related discipline.
• 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.

Qualcomm is an equal opportunity employer.

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 disabili or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable…