Computer Vision System Engineer

• Multiple years of experience developing mobile computer vision and AI systems.
• Deep knowledge of modern neural network architectures, including CNNs, Transformers, Vision Transformers (ViTs), multi-modal perception systems, and hardware-aware model optimization techniques.
• Experience architecting and optimizing deep learning engines (DLEs) or AI accelerators for computer vision workloads.

• Strong understanding of mobile computer vision applications, including: Object Detection and Tracking, Segmentation, Scene Understanding, Image Enhancement and Computational Photography, Motion Estimation and Neural Network-Based Vision Systems
• Expertise in system architecture and HW/SW partitioning for computer vision and AI workloads.
• Strong understanding of deep learning accelerator architectures, including Tensor processing, optimization, compute and neural network bottlenecks
• Experience defining real-time hardware architectures for computer vision and deep learning workloads.
• Experience evaluating throughput, latency, power, memory bandwidth, and silicon area trade-offs.
• Strong programming skills in C/C++ and Python with hands-on experience in algorithm prototyping and performance analysis.

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).

To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm.

Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited.

Qualcomm does not accept unsolicited resumes or applications from agencies.

Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location.

Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

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.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits :

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted.

Even more importantly, please note that salary is only one component of total compensation at Qualcomm.

We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).

In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.

Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link .

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