Job Board
LogoLogo

Get Jobs Tailored to Your Resume

Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

Qualcomm Logo

Staff Engineer - Backend Infrastructure - Machine Learning Researcher

Qualcomm

$181,400 - $272,000
Aug 19, 2025
Santa Clara, CA, USA
Apply Now

Qualcomm Technologies, Inc. is seeking a Backend Engineer to design and implement scalable backend systems for their AI-driven Video Surveillance as a Service (VSaaS) platform, supporting rapid growth and evolving demands.

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.
  • Strong understanding of CI/CD pipelines and version control (e.g., Git).
  • Proficiency in Go (Golang).

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.

Other

  • Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  • PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  • 6+ months of experience developing and/or optimizing machine learning models, systems, platforms, or methods.
  • Experience with AI-powered platforms, especially in computer vision or LLM agents.
  • Familiarity with video streaming technologies, media processing, or real-time analytics.