Engineer-product security

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.

Applicants

: Qualcomm is an