Job Description
Qualcomm Hiring Engineer-product security
As a leading technology innovator, Qualcomm pushes the boundaries of what’s possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.
Engineer – AI-Native Security Automation
Job Summary
We are looking for a motivated engineer to join our team building next-generation AI-driven security and software quality solutions. The role involves working on projects focused on static analysis, AI agents, developer productivity, vulnerability detection, and software security automation.
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.
Required 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.
Preferred Qualifications
- 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
- AI-native software development practices.
- Security automation and vulnerability detection at scale.
- Static analysis, symbolic execution, and fuzzing techniques.
- Building agent-based systems and intelligent developer tools.
- Enterprise-grade software engineering and platform development.
