Artificial Intelligence is transforming the future of software engineering, automation, cybersecurity, enterprise platforms, and digital experiences. As organizations increasingly adopt Generative AI, autonomous systems, and intelligent applications, the need for advanced AI Quality Assurance professionals is rapidly growing.
To support this next wave of AI innovation, Qualcomm is hiring for the role of Engineer โ AI Quality Assurance (QA) in India.
This opportunity is ideal for professionals passionate about:
- AI testing
- Generative AI validation
- Security-focused AI testing
- Automation frameworks
- Hallucination detection
- AI model benchmarking
- Prompt injection testing
- Enterprise AI systems
If you are someone who enjoys solving complex technical challenges and wants to work on the future of intelligent systems, this opening at Qualcomm could be an exciting career move.
๐ Job Overview
๐ผ Position: Engineer โ AI Quality Assurance (QA)
๐ข Company: Qualcomm
๐ Job ID: 3089447
๐ Locations:
- Hyderabad
- Bengaluru
๐ Shift Timing: UK Shift
๐ Experience Required: 1-3 Years
๐ป Employment Type: Full Time
๐ About Qualcomm
Qualcomm is one of the worldโs leading technology innovators known for driving advancements in:
- Mobile computing
- Wireless communication
- 5G technologies
- AI platforms
- Semiconductor innovation
- Edge computing
- Intelligent systems
Qualcomm technologies power billions of devices globally and continue to shape the future of connected ecosystems, AI-driven applications, smart devices, and digital transformation initiatives.
Working at Qualcomm provides opportunities to:
- Work on cutting-edge AI technologies
- Collaborate with global engineering teams
- Contribute to enterprise-grade intelligent systems
- Solve real-world AI challenges
- Build scalable and secure AI platforms
๐ค About the Role
The role of Engineer โ AI Quality Assurance (QA) is not a traditional software testing position.
This role focuses on validating and securing intelligent AI systems in the era of Generative AI and autonomous workflows.
As an AI QA Engineer, you will:
- Go beyond conventional automation testing
- Validate AI logic and behavior
- Test reliability and safety of AI systems
- Detect hallucinations in AI responses
- Benchmark model performance
- Validate enterprise AI solutions
- Ensure AI security and robustness
This is an exciting opportunity for professionals interested in the future of:
- AI governance
- AI validation
- Responsible AI
- GenAI testing
- AI security engineering
๐ Key Responsibilities
The selected candidates will work on advanced AI quality engineering initiatives.
โ Design Advanced AI Validation Frameworks
You will:
- Build validation systems for agentic AI workflows
- Create testing frameworks for autonomous systems
- Ensure AI-driven processes behave reliably
This involves validating:
- AI reasoning
- Decision-making
- Workflow consistency
- Intelligent automation systems
โ Collaboration with Architects & Engineering Teams
You will collaborate closely with:
- AI Architects
- ML Engineers
- Product Teams
- Enterprise Engineering Teams
The focus will be validating AI-driven solutions against:
- Real-world enterprise requirements
- Scalability expectations
- Performance constraints
- Security standards
- Reliability benchmarks
๐ง Skills & Technical Requirements
๐ Educational Qualification
Candidates should possess:
- Bachelorโs degree in Engineering
- Information Systems
- Computer Science
- Related technical disciplines
Preferred:
- Masterโs degree with specialization in Machine Learning or AI
๐ป Technical Skills Required
โ Strong Python Skills
Python remains one of the most important programming languages for:
- AI development
- Automation
- Data validation
- ML pipelines
- AI testing frameworks
Candidates should have solid hands-on Python experience.
โ AI Evaluation Frameworks
The ideal candidate should understand:
- AI testing methodologies
- Model evaluation frameworks
- Validation strategies
- AI benchmarking techniques
Experience with automation tools and intelligent testing frameworks is highly valuable.
๐ก๏ธ AI Safety & Security Mindset
A major highlight of this role is the requirement to:
โThink like an adversary.โ
This means candidates should be capable of:
- Identifying AI vulnerabilities
- Testing edge-case behaviors
- Validating AI robustness
- Preventing malicious exploitation
- Designing safe AI validation strategies
This role combines:
- AI engineering
- Security engineering
- Quality assurance
- Intelligent automation
into one highly future-focused career path.
๐ Experience Required
Experience:
1โ3 Years
This role is ideal for:
- Early-career AI engineers
- Automation QA engineers interested in AI
- Python developers transitioning into AI testing
- ML validation engineers
- Security-focused QA professionals
Candidates with internships, projects, or experience in:
- AI systems
- ML validation
- Automation frameworks
- AI model evaluation
may also have a strong advantage.
๐ Global Engineering Exposure
Collaborate with:
- Global AI teams
- Enterprise architects
- Research engineers
- Advanced software engineering groups
๐ Who Should Apply?
This role is highly suitable for candidates who have:
- Strong Python skills
- AI/ML interest
- Automation testing experience
- QA engineering background
- AI evaluation exposure
- Security testing mindset
- Curiosity for Generative AI systems
Professionals interested in:
- AI testing
- GenAI validation
- AI reliability
- Security-focused QA
- Intelligent systems engineering
should strongly consider applying.
๐ฉ How to Apply
Ready to take the next step in your career?
๐ Application Link: Click Here
๐ค Referral Tip
Want to improve your chances of getting noticed?
Connect with someone at Qualcomm and request a referralโit can significantly enhance your visibility in the hiring process.
๐ฏ Final Thoughts
The Engineer โ AI Quality Assurance (QA) opening at Qualcomm represents an exciting opportunity for technology professionals who want to work at the intersection of:
- Artificial Intelligence
- Quality Engineering
- Security
- Automation
- Enterprise AI Systems
As Generative AI adoption continues to grow globally, organizations need skilled engineers who can ensure AI systems are:
- Reliable
- Safe
- Secure
- Accurate
- Enterprise-ready
This role offers a chance to build expertise in one of the fastest-growing and most future-focused areas in technology.
If you are passionate about AI systems, Python automation, intelligent testing frameworks, and next-generation software quality engineering, this Qualcomm opportunity could be the perfect next step in your career journey.
