AI Engineer – Video Surveillance

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.

Role Overview

We are seeking an experienced Engineer to work on Video Surveillance as a Service (VSaaS) platforms. The role involves developing and integrating AI-driven video analytics use cases using existing models, performing profiling and performance optimizations, and debugging complex system-level issues across edge and cloud components. The engineer will work closely with platform, AI, and systems teams to deliver scalable, reliable, and high-performance VSaaS solutions.

Minimum Qualifications:

Key Responsibilities

• Design, develop, and integrate AI-based video analytics use cases using existing ML/DL models

  
  
  

• Work on VSaaS platform components spanning edge devices, cloud services, and APIs

  
  
  

• Perform performance profiling, optimization, and resource tuning (CPU, GPU, memory, latency)

  
  
  

• Debug and resolve system-level and application-level issues in production/lab environments

  
  
  

• Optimize video pipelines, inference workflows, and data paths for reliability and performance

  
  
  

• Collaborate with AI, platform, DevOps, and QA teams to ensure end-to-end solution quality

  
  
  

• Analyze logs, metrics, and traces to identify bottlenecks and stability issues

  
  
  

• Contribute to technical design discussions, code reviews, and engineering best practices

  
  
  

• Document designs, optimizations, and troubleshooting guidelines

  
  
  

Qualifications & Experience -

Required:

• Bachelor’s or Master’s degree in Computer Science, Electronics, or a related field

  
  
  

• 1+ years of hands-on engineering experience in video analytics, VSaaS, or related domains

  
  
  

• Strong experience in C/C++ and/or Python (Go experience is a plus)

  
  
  

• Hands-on experience with VSaaS or video analytics platforms

  
  
  

• Experience integrating and deploying pre-trained AI/ML models for real-world use cases

  
  
  

• Solid understanding of performance profiling and optimization techniques

  
  
  

• Strong debugging skills across application, OS, and system layers

  
  
  

• Experience with Linux-based systems and containerized environments (Docker/Kubernetes)

  
  
  

Preferred:

• Experience with video pipelines (RTSP, GStreamer, FFmpeg, codecs)

  
  
  

• Familiarity with edge AI deployments and hardware accelerators (GPU/NPU)

  
  
  

• Exposure to cloud-native architectures, microservices, and observability tools

  
  
  

• Understanding of CI/CD pipelines and production-grade deployments

  
  
  

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).

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