Lead Engineer, Senior- AI and Automation(Vulnerability Management)

Technology, Data & Digital · Software & Web Development · Software Engineering · Cybersecurity · Data Science

In short

Qualcomm is looking for a Lead/Staff Product Security Engineer in Bangalore, India, to lead the design and development of security tools and platforms for vulnerability management. This role emphasizes full-stack development, automation, and the application of AI and LLM technologies to enhance security operations and workflows.

Responsibilities

Provide technical leadership for the design, development, deployment, and support of security tools and platforms for product security and vulnerability management.
Work across the full stack to build scalable applications, backend services, APIs, automation frameworks, dashboards, and integrations.
Independently understand business requirements, define technical solutions, and drive projects from architecture and development through testing, deployment, and production support with minimal direction.
Develop and lead software solutions to improve efficiency, scalability, and visibility of security operations.
Support vulnerability management teams by developing tools for vulnerability data processing, workflow automation, analysis, reporting, remediation tracking, and integration with engineering systems.
Build AI-assisted capabilities for security and software engineering workflows, including intelligent data analysis, classification, summarization, recommendation, developer assistance, and workflow automation.
Evaluate and apply AI, LLM, and agentic approaches to create secure, reliable, and maintainable enterprise solutions.
Work with source code, build systems, CI/CD pipelines, software development tools, and security data.
Contribute to capabilities involving vulnerability detection, static analysis, secure coding, software composition analysis, and related product security workflows.
Establish technical direction, lead architecture and design decisions, mentor engineers, drive engineering best practices, and coordinate delivery across multiple teams.
Build high-quality, secure, scalable, observable, and maintainable solutions.

Requirements

Strong experience designing, developing, deploying, and supporting production-grade full-stack applications and engineering platforms.
Strong programming experience in Python and proficiency in C, C++, Java, or another programming language.
Experience developing backend services, REST APIs, databases, frontend applications, automation frameworks, and enterprise integrations.
Experience designing scalable, secure, maintainable, and observable software systems.
Experience building automation for security, software engineering, data processing, or operational workflows.
Experience working with Linux environments, Git, source code, build systems, and CI/CD pipelines.
Experience integrating tools with ticketing systems, scanners, static analysis platforms, dashboards, cloud services, or enterprise applications.
Experience developing or supporting security tools used for vulnerability management, security analysis, remediation tracking, or reporting.
Understanding of vulnerability management concepts, including vulnerability intake, triage, applicability, exploitability, prioritization, and remediation.
Experience applying AI, LLMs, Generative AI, or agentic AI to software development, security analysis, automation, or developer workflows.
Understanding of secure AI application design, including data protection, access control, prompt security, output validation, and human oversight.
Familiarity with static analysis, secure coding practices, software composition analysis, SBOMs, or vulnerability detection.
Ability to independently understand business requirements, define technical solutions, and deliver projects with minimal guidance.
Demonstrated ability to lead technical initiatives, mentor engineers, and drive execution across multiple teams.
Strong analytical, problem-solving, communication, and collaboration skills.
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Desired Qualifications

Experience building AI-native security tools, intelligent developer tools, or agent-based automation systems.
Familiarity with static analysis tools such as Klocwork, Parasoft, Semgrep, or similar tools.
Experience with LLM orchestration, RAG, MCP servers, tool-using agents, or evaluation frameworks.
Experience with Docker, Kubernetes, cloud-native development, and deployment automation.
Experience integrating security tools with CI/CD and developer workflows.
Knowledge of symbolic execution, fuzzing, vulnerability detection, or software security analysis.
Familiarity with SCA, SBOM, VEX, CVE data, and security metadata.
Knowledge of product security processes, secure SDLC, and compliance requirements such as CRA.
Experience leading software development or security engineering projects across multiple products or organizations.
Experience establishing coding standards, architecture practices, testing strategies, observability, and production support processes.

Benefits

Qualcomm is an equal opportunity employer.
Qualcomm is committed to providing an accessible process for individuals with disabilities.
Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.
Qualcomm is committed to making our workplace accessible for individuals with disabilities.