🚀Qualcomm Hiring | Engineer – AI Quality Assurance (QA) | Bengaluru | 1–3 Years |

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Qualcomm is hiring an Engineer – AI Quality Assurance (QA) to join its cutting-edge Enterprise Generative AI Platform team in Bengaluru. This is an exciting opportunity for professionals passionate about Artificial Intelligence, Machine Learning, Quality Engineering, and Generative AI technologies to work on next-generation intelligent systems that are transforming enterprise productivity at scale.

As part of Qualcomm’s AI Engineering organization, you will help validate state-of-the-art agentic AI applications, autonomous workflows, and enterprise-grade AI platforms while ensuring reliability, safety, scalability, and performance. This role goes beyond traditional software testing and focuses on building advanced validation frameworks for intelligent, non-deterministic AI systems.

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📌 Job Overview

🏢 Company: Qualcomm India Private Limited
💼 Position: Engineer – AI Quality Assurance (QA)
🆔 Job ID: 3089447
📍 Location: Bengaluru, Karnataka, India
🏗 Department: Engineering Group – Software Engineering
🎯 Experience: 1–3 Years
🎓 Qualification: Bachelor’s degree in engineering, Computer Science, Information Systems, or Related Field
⭐ Preferred: Master’s Degree with Machine Learning Specialization
🌐 Domain: Artificial Intelligence & Generative AI
💼 Employment Type: Full-Time

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🚀 About the Team

Qualcomm’s Enterprise Generative AI Platform team is developing powerful AI solutions that enable intelligent automation and productivity enhancement across multiple business units. The team is responsible for building scalable AI infrastructure, exposing Model SDKs, Frameworks, and Application APIs that empower engineering teams to create custom AI-powered solutions.

The platform supports:

🤖 Agentic AI Applications
🧠 Large Language Models (LLMs)
⚡ Autonomous AI Workflows
☁️ Cloud-Native AI Platforms
🔌 AI Frameworks & SDKs
📊 Enterprise Data Systems
🚀 High-Throughput AI Infrastructure

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🎯 Your Role as an AI QA Engineer

As an AI Quality Assurance Engineer, you will redefine software testing for the Generative AI era by building validation systems that assess not only functionality but also model accuracy, safety, reasoning, reliability, and security.

You will work closely with AI Architects, Machine Learning Engineers, Platform Teams, and Software Engineers to design innovative validation strategies capable of testing intelligent systems under real-world enterprise scenarios.

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🛠 Key Responsibilities

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🤖 AI Validation & Quality Engineering

✅ Design and build advanced validation frameworks for agentic AI systems
✅ Develop testing methodologies for autonomous workflows and intelligent applications
✅ Validate AI-generated responses for consistency, reliability, and accuracy
✅ Create scalable testing strategies for enterprise AI deployments

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📊 Model Evaluation & Benchmarking

✅ Develop model quality benchmarking pipelines
✅ Build AI regression testing frameworks
✅ Measure performance across multiple business scenarios
✅ Analyze model behavior using evaluation metrics and quality indicators

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🔍 Hallucination Detection & Reliability Testing

✅ Create pipelines for hallucination detection
✅ Evaluate factual correctness of AI-generated outputs
✅ Identify model inconsistencies and edge cases
✅ Improve reliability and trustworthiness of AI systems

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🔒 AI Security Validation

✅ Conduct prompt injection testing
✅ Perform adversarial validation against AI systems
✅ Test resistance to malicious inputs and attacks
✅ Assess and prevent data leakage vulnerabilities
✅ Strengthen AI safety and governance standards

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🤝 Cross-Functional Collaboration

✅ Collaborate with AI Architects and Software Engineers
✅ Validate AI solutions against enterprise requirements
✅ Participate in design reviews and architecture discussions
✅ Ensure compliance with enterprise quality standards

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💻 Required Technical Skills

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🐍 Programming

✅ Strong Python Programming Skills
✅ Automation Framework Development
✅ Test Scripting and Automation Engineering

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🤖 Artificial Intelligence & Machine Learning

✅ AI Evaluation Frameworks
✅ Generative AI Fundamentals
✅ Large Language Models (LLMs)
✅ AI Quality Assessment Techniques

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🧪 Quality Engineering

✅ Test Framework Design
✅ Regression Testing
✅ Benchmark Testing
✅ Automation Testing

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🔐 AI Security Testing

✅ Prompt Injection Validation
✅ Data Leakage Testing
✅ Adversarial Testing Techniques
✅ AI Risk Assessment

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🎓 Educational Qualifications

✔ Bachelor’s Degree in Computer Science, Engineering, Information Systems, or Related Field
⭐ Master’s Degree with Machine Learning Specialization Preferred
⭐ AI/ML Certifications and Research Experience Preferred

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👨‍💻 Who Should Apply?

✔ Professionals with 1–3 years of experience building or validating AI systems
✔ Engineers with strong Python programming expertise
✔ Candidates interested in Generative AI and LLM technologies
✔ Professionals experienced with automation frameworks and testing tools
✔ Individuals who enjoy solving complex quality engineering challenges
✔ Engineers interested in AI safety, reliability, and security testing
✔ Candidates with strong analytical and problem-solving abilities
✔ Team players who enjoy collaborating across engineering disciplines

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📩 How to Apply

Ready to take the next step in your career?

👉 Application Link: Click Here

🤝 Referral Tip
Want to improve your chances of getting noticed?
Connect with someone at Qualcomm and request a referral—it can significantly enhance your visibility in the hiring process.

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