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General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.
We are looking for a Staff Engineer to design, develop, and own end-to-end video surveillance AI use cases deployed on edge devices. This is a hands-on AI role focused on model-centric video analytics pipelines, spanning use-case definition, AI model selection and tuning, pipeline development, optimization, validation, and real-world performance.
The role emphasizes full lifecycle ownership of VSaaS use cases, with strong focus on AI model behavior, output quality, system-level robustness, and KPI-driven execution on Qualcomm hardware platforms
Minimum Qualifications:
Key Responsibilities
Design, develop, and own end-to-end video surveillance AI use cases from problem definition to deployment and field validation.
Translate surveillance scenarios into AI model requirements, expected outputs, and measurable KPIs.
Select, integrate, and adapt object detection models (e.g., YOLO v5/v7/v8) for video surveillance use cases.
Design and implement end-to-end AI pipelines, including preprocessing, inference, and postprocessing.
Debug and validate AI model outputs against ground-truth datasets and real-world video feeds.
Analyze expected vs. real outputs, identify root causes across model, data, and pipeline stages, and implement fixes.
Optimize preprocessing (frame extraction, scaling, normalization, augmentation) and postprocessing (NMS, bounding box refinement, tracking).
Profile and optimize inference pipelines across Qualcomm DSPs, GPUs, and NPUs for latency, throughput, and power efficiency.
Define, monitor, and report KPIs such as detection accuracy, false positives/negatives, latency, and system robustness.
Collaborate with hardware, platform, and systems teams to integrate AI models and pipelines into production VSaaS systems.
Develop and improve debugging tools, logging, evaluation frameworks, and automated test pipelines.
Drive continuous improvement of deployed use cases using field data and KPI trends.
Required Qualifications & Experience
Bachelor’s or Master’s degree in Computer Science, Electronics, or a related field.
8+ years of overall experience, with 4+ years in AI use-case design, model integration, development, and validation.
Strong programming skills in Python and C++; exposure to CUDA/OpenCL is a plus.
Hands-on experience with YOLO (v5/v7/v8) or similar object detection frameworks.
Experience with TensorFlow, PyTorch, and ONNX Runtime.
Proven experience debugging and validating AI model outputs, beyond model training.
Strong understanding of video analytics pipelines and real-time inference optimization on edge devices.
Experience with KPI-driven system design, benchmarking, and production readiness
Applicants: 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).
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.
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.
If you would like more information about this role, please contact Qualcomm Careers.
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