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Senior Quality Assurance Engineer

Job in Santa Clara, Santa Clara County, California, 95051, USA
Listing for: Qualcomm
Full Time position
Listed on 2026-03-11
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer
Job Description & How to Apply Below
Design and execute end-to-end test strategies for the VSaaS platform, covering edge devices, video analytics, backend services, and frontend interfaces. Develop automated test frameworks for functional, regression, integration, and performance testing. Collaborate with cross-functional teams, including Product, AI, Backend and Frontend, to define test plans, acceptance criteria, and quality goals. Integrate test automation into CI/CD pipelines to ensure high release quality and enable rapid feedback loops.

Investigate, track, and drive resolution of defects; continuously refine test coverage and improve overall platform reliability. Bachelor's Degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 2+ years of Quality Engineering or related work experience. OR Master's Degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 1+ year of Quality Engineering or related work experience.

OR PhD in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field. Bachelor's or Master's degree in Computer Science, Engineering or a related field. 5+ years of experience in QA engineering or software testing. Solid experience testing RESTful APIs and web/mobile applications. Strong proficiency with automated testing tools (e.g., Selenium, Postman, etc.). Proficient in scripting or programming with Python or Go.

Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes). Strong understanding of CI/CD pipelines and version control (e.g., Git). Experience testing cameras, video streaming, media processing and real-time analytics. Understanding of computer vision or LLM agents in a product context. Hands-on experience with observability tools such as Prometheus, Grafana, or the ELK stack. Knowledge of security and privacy considerations in video surveillance systems.

Prior experience with performance, load, and stress testing in large-scale distributed systems.
Position Requirements
10+ Years work experience
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