Full-time· software · testing

Qualcomm
AI Quality Assurance (QA) Engineer
Pay
₹10L–20L LPA
+22% vs avg
Location
Bengaluru
On-site
Batch
2024, 2025, 2026
eligible
Closes
—
Posted 19h ago · 3,313 views this week
₹10L–20L LPA
Full-time · Bengaluru · On-site
Description
About the role
Qualcomm India Private Limited is inviting applications for the Engineer – AI Quality Assurance (QA) role at its Bengaluru engineering hub.
Responsibilities
- Redefine AI Testing: Move beyond traditional automation to validate the core logic, ethical safety, and output reliability of Generative AI systems.
- SDK & API Validation: Rigorously test and validate Model SDKs, Frameworks, and Application APIs that empower internal teams to build custom AI solutions.
- Performance Benchmarking: Evaluate AI models and cloud edge software for ultra-low latency and high-throughput scalability.
- System Orchestration: Test the seamless orchestration and data pipeline logic between on-premises infrastructure and cloud-based data systems.
- Cross-Functional Collaboration: Partner directly with systems, hardware, and architecture engineers to gather performance requirements and design system-level test solutions.
- Quality Automation: Create, modify, and validate specialized utility programs to automate the QA lifecycle for SOTA agentic applications.
Eligibility
- Education: Minimum Bachelor’s degree in Engineering, Information Systems, Computer Science, or a related field.
- AI Literacy: Strong foundational understanding of Generative AI, Large Language Models (LLMs), and agentic application architectures.
- Testing Expertise: Proven experience in software quality assurance, API testing, and writing robust automation scripts (Python highly preferred).
- Performance Mindset: Familiarity with testing highly scalable systems, cloud/edge integrations, and latency benchmarking.
- Problem-Solving: Strong analytical skills required to debug complex intelligent systems and identify edge-case logic failures.
- Team Collaboration: Excellent communication skills to interface with diverse engineering groups and drive product excellence.
Benefits
- Opportunity to work with a leading technology innovator.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
Skills
· 8 totalRequired5
pythonapi testingsoftware quality assurancegenerative ailarge language models
Nice to have3
cloud computingdevopsagile methodologies
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