Engineer-product Security

Qualcomm; Telangana; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

Qualcomm India Private Limited is seeking a Software Engineer to design, develop, and validate embedded and cloud edge software. You will work with AI-driven security, static analysis, and automation, collaborating with systems, hardware, and test teams to deliver scalable solutions.

The role emphasizes building Python-based tools, integrating AI capabilities into developer workflows, and contributing to software quality and security automation across the engineering stack.

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.

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

Python programming

Data structures & algorithms

Linux environments

Git version control

Software security basics

Problem-solving

Communication & teamwork

AI/LLMs exposure

REST APIs / cloud-native

Education

Bachelor's or Master's in CS/ Electronics/ Software Engineering

Tools

Klocwork

Parasoft

Semgrep

Job description

Job Description:

Company

Qualcomm India Private Limited

Job Area

Engineering Group, Engineering Group > Software Engineering

General Summary

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.

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

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.

Applicants

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [e-mail] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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