Engineer – Product Security

Qualcomm’s interview process typically starts with a timed online coding test focusing on data structures, algorithms, and Python syntax. Successful candidates move to a technical interview where they discuss security concepts, AI integration, and system design, followed by an HR round that assesses cultural fit and communication skills. Preparation should include solving medium‑level DSA problems, reviewing static analysis basics, and being ready to discuss any AI projects you have built.

Qualcomm promotes a merit‑based culture where innovation is rewarded and employees enjoy a balanced work‑life schedule. The Hyderabad office offers flexible timings, regular tech talks, and clear growth pathways, making it an attractive place for fresh engineers to thrive.

Bachelor’s or Master’s degree in Computer Science, Electronics, Software Engineering or related field; minimum 60% aggregate (or CGPA 6.0/10); graduating batch 2026; no active backlogs at the time of joining; strong programming fundamentals in Python; familiarity with Linux and Git.

Round 1: Online coding assessment (DSA & Python) → Round 2: Technical interview (security concepts, AI integration, system design) → Round 3: HR interview (fit, motivations, compensation).

Qualcomm India Private Limited is a global leader in semiconductor and telecommunications technology, with a strong footprint in India’s innovation ecosystem. The company invests heavily in research and development, delivering cutting‑edge solutions for mobile, automotive, IoT and AI‑driven platforms. Employees benefit from a collaborative culture that encourages continuous learning, exposure to world‑class projects, and the chance to work alongside industry pioneers. Qualcomm’s Hyderabad campus is a hub for software engineering, offering state‑of‑the‑art labs, mentorship programs, and a vibrant community of engineers who shape the future of wireless communication. The Engineer – Product Security role sits within the Engineering Group > Software Engineering and focuses on building AI‑enabled security automation tools. As a fresher, you will be part of a fast‑moving team that designs, develops, and maintains Python‑based frameworks that integrate large language models (LLMs) with static analysis pipelines. Your work will directly influence how developers detect, triage, and remediate vulnerabilities across Qualcomm’s product portfolio, making software more secure and developer‑friendly. **Key Responsibilities** 1. Design and implement Python automation scripts for AI‑assisted security workflows. 2. Build and maintain backend services that integrate LLM APIs with static analysis tools. 3. Develop and fine‑tune static analysis rules using platforms such as Semgrep, Klocwork, or Parasoft. 4. Analyze findings from static analysis, improve classification accuracy, and suggest remediation steps. 5. Collaborate with CI/CD teams to embed security checks into build pipelines. 6. Participate in code reviews, ensuring adherence to secure coding standards. 7. Conduct testing, debugging, and performance profiling of security tools. 8. Document technical designs, usage guides, and best‑practice manuals. 9. Stay updated with emerging AI/LLM technologies and propose innovative applications. 10. Work closely with senior engineers to scale solutions for enterprise‑level deployments. **Tech Stack**: Python, Linux, Git, REST APIs, CI/CD (Jenkins/GitHub Actions), static analysis tools (Semgrep, Klocwork), cloud‑native platforms, LLM services (OpenAI, Anthropic), databases (SQL/NoSQL). **Growth Path**: Starting as an Engineer, you can progress to Senior Engineer, Lead Engineer, and eventually Principal Engineer or Security Architecture roles, with opportunities to lead cross‑functional AI security initiatives. **Why Join Qualcomm?** The company offers a competitive salary, robust learning resources, and exposure to industry‑leading AI and security technologies. Fresh graduates gain hands‑on experience on real‑world products, mentorship from seasoned experts, and a clear career trajectory within a globally recognized brand.