If you’re passionate about artificial intelligence, software quality, and solving complex real-world problems, this opportunity at Qualcomm could be your perfect next step. The company is hiring for the role of Engineer – AI Quality Assurance (QA), offering a chance to work on cutting-edge generative AI systems that are shaping the future of technology.
With locations in Hyderabad and Bangalore, this role is ideal for professionals who want to go beyond traditional testing and explore the emerging field of AI system validation and safety engineering.
🌍 About Qualcomm
Qualcomm is a global leader in wireless technology and innovation, known for powering smartphones, IoT devices, automotive systems, and next-generation connectivity solutions. With a strong focus on AI, edge computing, and digital transformation, Qualcomm continues to push the boundaries of what’s possible.
By joining Qualcomm, you’ll be part of a team that is building enterprise-grade generative AI platforms, enabling businesses to unlock productivity and innovation at scale.
💼 Role Overview
- Position: Engineer – AI Quality Assurance (QA)
- Job ID: 3089447
- Location: Hyderabad / Bangalore
- Experience: 1–3 Years
- Education: Bachelor’s in Engineering/Computer Science (Master’s preferred)
This role sits at the intersection of AI, software engineering, and quality assurance, where your work will directly impact the reliability and safety of intelligent systems.
🧠 Why This Role Is Unique
Traditional QA focuses on deterministic systems—but AI systems behave differently. They are probabilistic, adaptive, and often unpredictable. This role challenges you to rethink testing entirely.
Here’s what makes this opportunity stand out:
- 🤖 Work on Generative AI and agentic systems
- ⚡ Solve problems related to latency, scalability, and orchestration
- 🧪 Build frameworks to test non-deterministic AI behavior
- 🔐 Focus on AI safety, security, and ethical validation
- 🌐 Contribute to platforms used across multiple business units
🔍 What You’ll Work On
As an AI QA Engineer, you’ll play a critical role in ensuring that AI systems are accurate, safe, and reliable.
🧪 AI Validation Frameworks
- Design and build advanced validation systems for AI agents
- Test autonomous workflows and decision-making logic
📊 Model Quality & Benchmarking
- Develop pipelines to:
- Detect hallucinations
- Benchmark model performance
- Perform regression testing
🔐 Security & Safety Testing
- Validate systems against:
- Prompt injection attacks
- Data leakage risks
- Ensure compliance with enterprise-grade safety standards
🤝 Cross-Team Collaboration
- Work closely with:
- Architects
- Engineers
- Product teams
- Validate AI solutions against real-world business constraints
🛠️ Skills & Requirements
To succeed in this role, you’ll need a mix of technical expertise, analytical thinking, and curiosity about AI systems.
✅ Must-Have Skills
- Strong programming skills in Python
- Experience with:
- AI systems or ML-based applications
- Test automation frameworks
- Understanding of:
- Software testing principles
- System validation techniques
🧠 Mindset & Approach
This role requires a unique way of thinking:
- Ability to design tests for non-deterministic systems
- Think like an adversary to identify vulnerabilities
- Strong problem-solving and analytical skills
- Curiosity to explore how AI systems behave under different conditions
🎓 Educational Background
- Bachelor’s degree in:
- Computer Science
- Engineering
- Information Systems
- Preferred:
- Master’s degree with specialization in Machine Learning or AI
🎯 Who Should Apply?
This role is perfect for:
- Software engineers interested in AI and machine learning
- QA professionals looking to transition into AI testing and validation
- Developers with experience in Python and automation frameworks
- Candidates curious about AI safety, ethics, and reliability
- Professionals who enjoy solving complex, ambiguous problems
🌟 Why Join Qualcomm?
🚀 Work on Cutting-Edge AI
Be part of a team building state-of-the-art generative AI platforms.
🌐 Global Impact
Your work will influence systems used across multiple industries and business units.
🧠 Learning & Growth
Gain hands-on experience in:
- AI validation
- Model evaluation
- Security testing
🤝 Collaborative Environment
Work with experts across software, hardware, and AI domains.
📈 Career Opportunities
This role opens doors to advanced positions such as:
- AI Test Architect
- ML Engineer
- AI Safety Specialist
💡 What You’ll Gain
- Deep understanding of AI system behavior and validation
- Experience with enterprise-scale AI platforms
- Exposure to real-world AI challenges
- Opportunity to work on next-generation technologies
📩 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.
✨ Final Thoughts
The rise of generative AI is transforming how software is built and used—but it also introduces new challenges in accuracy, safety, and reliability. This is where roles like AI Quality Assurance Engineer become critical.
At Qualcomm, you won’t just be testing software—you’ll be shaping how intelligent systems behave in the real world. From detecting hallucinations to preventing security vulnerabilities, your work will ensure that AI systems are trustworthy and scalable.
If you’re excited about AI, enjoy solving complex problems, and want to be part of a high-impact team, this role is an excellent opportunity.
Apply now and be part of the AI revolution with Qualcomm! 🚀
