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Sr. Staff Engineer - Backend Infrastructure - Machine Learning Engineering

Qualcomm

$185,900 - $278,900
Aug 19, 2025
Santa Clara, CA, USA
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Design and implement scalable backend systems that power AI-driven Video Surveillance as a Service (VSaaS) platform for Qualcomm Technologies, Inc.

Requirements

  • 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

Responsibilities

  • Design and implement scalable backend services and APIs for cloud-based VSaaS platform
  • Develop infrastructure and reusable frameworks to ensure reliability, scalability, and ease of maintenance
  • 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

Other

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
  • Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
  • PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience