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

Qualcomm

Bengaluru

2+ years

1 day ago

$21.7K–33.7K/yr

Full-time

Onsite

Skills Required LLM

Gen AI

Agentic AI

RAG

LLM orchestration

Tool-using agents

Evaluation frameworks

Python

C

C++

Java

Full-stack applications

Backend services

REST API

Databases

Description Qualcomm is a leading technology innovator focused on next-generation experiences and digital transformation. The role involves designing, developing, and supporting embedded and cloud edge software and collaborating with cross-functional teams to deliver system-level software solutions.

Company: Qualcomm India Private Limited

Role: Lead/Staff Product Security Engineer – FullStack Development, Automation, AI and Vulnerability Management

Location: Bangalore

Experience

- 3+ years of Software Engineering or related work experience with a Bachelor's degree
- 2+ years of Software Engineering or related work experience with a Master's degree
- 1+ year of Software Engineering or related work experience with a PhD
- 2+ years of academic or work experience with programming languages such as C, C++, Java, Python
- Strong experience designing, developing, deploying, and supporting production-grade full-stack applications and engineering platforms
- Experience developing backend services, REST APIs, databases, frontend applications, automation frameworks, and enterprise integrations
- Experience working with Linux environments, Git, source code, build systems, and CI/CD pipelines
- Experience developing or supporting security tools used for vulnerability management, security analysis, remediation tracking, or reporting
- Experience applying AI, LLMs, Generative AI, or agentic AI to software development, security analysis, automation, or developer workflows
- Demonstrated ability to lead technical initiatives, mentor engineers, and drive execution across multiple teams

Qualification

- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field
- Master's degree in Engineering, Information Systems, Computer Science, or related field
- PhD in Engineering, Information Systems, Computer Science, or related field

Responsibilities

- Provide technical leadership for design,



development, deployment, and support of security tools and platforms
- Build scalable applications, backend services, APIs, automation frameworks, dashboards, and integrations
- Understand business requirements and define technical solutions independently
- Drive projects from architecture and development through testing, deployment, and production support
- 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, and remediation tracking
- 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

Additional Responsibilities

- Work with security data and integrate tools with ticketing systems, scanners, static analysis platforms, dashboards, cloud services, or enterprise applications
- Understand vulnerability management concepts including intake, triage, applicability, exploitability, prioritization, and remediation
- Understand secure AI application design including data protection, access control, prompt security, output validation, and human oversight




- Demonstrate solid analytical, problem-solving, communication, and collaboration skills
- Abide by company policies and procedures including security and protection of confidential information

Nice To Have

- 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
- 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

More Skills Full-stack development, Frontend applications, Automation frameworks, Enterprise integrations, Linux, Git, Source code management, Build systems, CI/CD pipelines, Security tools, Vulnerability management, Static analysis, Secure coding, Software composition analysis, SBOM, AI

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