Qualcomm Software Engineering Job Alerts 2026 – Apply Soon!

About the Role

As a Product Security Engineer at Qualcomm, you will be working on cutting-edge AI-driven security and software quality solutions. Your primary responsibility will be to develop software solutions for AI-assisted security and static analysis workflows, utilizing your expertise in Python, data structures, and algorithms.

Key Responsibilities

• Develop software solutions for AI-assisted security and static analysis workflows.
• Build and maintain Python-based tools, automation frameworks, and backend services.
• Integrate AI/LLM capabilities into engineering workflows and developer tools.
• Analyze static analysis findings and help improve issue classification, triage, and remediation.
• Work with source code, build systems, CI/CD pipelines, and software development tools.
• Collaborate with senior engineers on designing scalable and reliable solutions.
• Participate in code reviews, testing, debugging, and documentation.

Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Electronics, Software Engineering, or related field.
• Strong programming skills in Python.
• Good understanding of data structures, algorithms, and software engineering fundamentals.
• Familiarity with Linux environments and Git version control.
• Basic knowledge of software security, static analysis, or secure coding practices.
• Strong problem-solving and analytical skills.
• Good communication and teamwork abilities.
• Exposure to AI/LLMs, Generative AI, or Agentic AI concepts.
• Experience with REST APIs, databases, or cloud-native development.
• Familiarity with static analysis tools such as Klocwork, Parasoft, Semgrep, or similar tools.
• Knowledge of CI/CD pipelines and automation frameworks.
• Interest in software security, vulnerability research, symbolic execution, or fuzzing.

What You'll Learn

As a Product Security Engineer at Qualcomm, you will gain hands-on experience in developing AI-driven security and software quality solutions. You will learn to integrate AI/LLM capabilities into engineering workflows and developer tools, and work with source code, build systems, CI/CD pipelines, and software development tools.

Resume Tip

When applying for this role, make sure to highlight your experience with Python, data structures, and algorithms. Emphasize your problem-solving and analytical skills, as well as your ability to work collaboratively with senior engineers. Additionally, include any relevant projects or experiences you have with AI/LLMs, Generative AI, or Agentic AI concepts.