Principal Backend Engineer - Core Infrastructure

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General 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.

Key Responsibilities

· 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, DevOps, 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.

Minimum Qualifications:

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.

• 4+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Preferred Qualifications:

• Master's Degree in Engineering, Information Systems, Computer Science or related field.
• 15+ years of Software Engineering or related work experience. · 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 (e.g., AWS, GCP, or Azure).
• Proficient with Docker and Kubernetes for containerization and orchestration.
• Familiarity with MongoDB, with experience designing performant and scalable schema.
• Strong understanding of CI/CD pipelines and version control (e.g., 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.

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Pay rangeand 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.