Qualcomm Campus Drive 2026 Hiring AI Quality Assurance Engineer

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Cyber Tecz
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Qualcomm Campus Drive 2026
Qualcomm Campus Drive 2026

Qualcomm Campus Drive 2026 Hiring AI Quality Assurance Engineer

Qualcomm is conducting its Campus Drive 2026 to hire AI Quality Assurance Engineers. This is an excellent opportunity for freshers and aspiring software professionals to work with advanced AI technologies and quality assurance processes. Candidates with strong analytical skills, programming knowledge, and interest in artificial intelligence can apply for this latest Qualcomm recruitment drive.

Job Details:

  • Designation: AI Quality Assurance Engineer
  • Company: Qualcomm
  • Educational Qualification: B.E/B.Tech
  • Experience Required: 0 – 1 Year
  • Location: Hyderabad, Bangalore India 
  • Compensation: Best in Industry

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.

Join the team building Qualcomm’s Enterprise-Grade Generative AI Platform. We are at the forefront of the AI revolution, developing State-of-the-Art (SOTA) agentic applications designed to hyper-charge productivity across all Qualcomm business units.

Our mission extends beyond internal tools; we are building a robust infrastructure by exposing Model SDKs, Frameworks, and Application APIs that empower other teams to build their own custom AI solutions. We operate at scale, solving complex challenges related to ultra-low latency, high-throughput scalability, and the seamless orchestration of on-premises and cloud-based data systems

Minimum Qualifications:

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

Requirements:

  • Experience: 1-3 years in building/validating AI software systems or test frameworks.
  • Technical Stack: Strong Python skills; experience with AI evaluation frameworks and automation tools.
  • Mindset: Ability to design validation strategies for non-deterministic systems and “think like an adversary” to ensure model safety.
  • Education: Bachelor’s in CS/Engineering; Masters with ML specialization preferred.

Key Responsibilities:

As an AI QA Engineer, you will redefine testing for the Gen AI era, moving beyond traditional automation to validate the logic, safety, and reliability of intelligent systems.

  • Design and build advanced validation frameworks for agentic AI systems and autonomous workflows.
  • Develop pipelines for hallucination detection, model quality benchmarking, and regression analysis.
  • Conduct security-focused validation, including prompt-injection resistance and data leakage testing.
  • Collaborate with Architects to validate AI-driven solutions against real-world enterprise constraints.

Interested students can apply directly at 👉 Qualcomm Campus Drive 2026

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