Backend Engineer - Core Infrastructure

Job Summary

We are seeking a skilled and motivated Backend Engineer to join our backend team. You will help design and implement the scalable backend systems that power our AI-driven Video Surveillance as a Service (VSaaS) platform. In this role, you will contribute to building robust, extensible infrastructure to support the platform’s rapid growth, increasing AI capabilities, and the evolving demands of connected devices.

• Design and implement scalable backend services and APIs for our cloud-based VSaaS platform.
• Develop infrastructure and reusable frameworks to ensure reliability, scalability, and ease of maintenance.
• Collaborate with cross-functional teams, including AI, Dev Ops, and Product, to deliver end-to-end solutions.
• Design and optimize data models, data pipelines, and storage for video metadata, analytics, and real-time search.
• Ensure system reliability, observability, and performance in production using industry best practices.
• Participate in architectural design, code reviews, and ongoing engineering process improvements.

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
• Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
• PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
• 2+ years of work experience with programming languages such as C, C++, Java, Python, etc.

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Strong backend development skills in Go, Java, Python, or Node.js.
• Solid experience with distributed systems, microservices architecture, and API design.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Proficient with Docker and Kubernetes for containerization and orchestration.
• Familiarity with Mongo
  
  DB, with experience designing performant and scalable schema.
• Strong understanding of CI/CD pipelines and version control (Git).
• Proficiency in Go (Golang).
• Experience with AI-powered platforms, especially in computer vision or LLM agents.
• Familiarity with video streaming technologies, media processing, or real-time analytics.
• Hands‑on experience with observability tools such as Prometheus, Grafana, or ELK stack.
• Prior experience building backend systems for high‑volume, latency‑sensitive applications.

$ – $

Competitive annual discretionary bonus program, RSU grants, and a comprehensive benefits package.

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.