Staff Software Engineer - Video Analytics

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

We are seeking a highly skilled Staff Software Engineer to design, implement, optimize, and deploy advanced computer vision and video analytics systems on resource-constrained edge computing platforms. This role has a strong emphasis on real-time surveillance, monitoring, and large-scale video intelligence applications.

You will lead and contribute to research-driven development of computer vision algorithms, translating cutting-edge research into robust, production-grade systems. Working closely with cross-functional engineering and research teams, you will design, train, and deploy models for video understanding, object detection, tracking, and event recognition in real-world surveillance environments.

You will also integrate modern computer vision frameworks and video streaming pipelines into embedded and edge software systems that power large-scale surveillance and media management solutions. In addition, you will document system architectures and research findings, troubleshoot and debug complex deployments, and continuously improve computer vision and media processing systems operating in the field.

Required Experiences

Proven experience as a Software Engineer working on computer vision or video analytics systems, preferably in surveillance or monitoring contexts.

• Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, or related research-intensive fields, with coursework or projects in computer vision or image processing.

• Strong programming experience in C++ and/or Python, with hands-on development of performance-critical computer vision pipelines.

• Solid understanding of multi-threading, asynchronous computing, coroutines, scheduling, and message-based systems used in real-time video processing.

• Proficiency with modern software engineering and debugging tools in Linux or embedded environments.

Preferred Qualifications

• Demonstrated research experience in computer vision, including publications, patents, or applied R&D projects in areas such as object detection, tracking, video understanding, or scene analysis.

• Experience building surveillance, security, or intelligent video analytics systems, including camera pipelines, streaming, recording, and metadata extraction.

• Development experience with embedded systems and edge AI platforms optimized for real-time video processing.

• Strong problem-solving skills, self-motivation, and the ability to work independently while collaborating effectively with research and engineering teams.

Minimum Qualifications:

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

OR

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

OR

PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software 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-accomodations@qualcomm.com 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 for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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