#Software Test Engineer - On-Device AI / Generative AI

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: *** This position is not eligible for Qualcomm immigration sponsorship.*** About the Role This role emphasizes on-device AI stability, system-level validation, and end-to-end AI pipeline verification across SoC (CPU, GPU, DSP, and NPU) execution environments, ensuring robust and scalable AI performance on real-world devices. This role targets engineers with a strong foundation in computer science (especially AI/ML) who are passionate about testing and validating cutting-edge generative AI technologies, including LLMs, LVMs, LoRA-based models, and agentic AI workflows. The candidate will play a critical role in driving AI test coverage, automation, and system-level quality, ensuring high reliability, performance, and scalability of on-device AI features in a fast-paced environment. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

On-Device AI Testing & Validation - Validate on-device AI solutions across mobile, PC, and automotive platforms, ensuring functionality, performance, and robustness. - Design, develop, and execute end-to-end validation workflows, including model integration, test framework or test application development, device bring-up, and full system validation on target hardware. - Validate Generative AI use cases across text, multimodal, and speech pipelines, leveraging techniques such as LoRA/adapters, RAG, and agentic AI workflows, ensuring correctness, robustness, and performance on-device Test Coverage & Quality Ownership - Define, expand, and track AI test coverage across features and platforms. - Identify coverage gaps and develop new test scenarios. - Monitor coverage metrics, pass rates, and regression trends. Test Automation Development & Maintenance - Develop new and maintain existing automation frameworks and scripts using Python, Java, and Shell. - Build scalable pipelines for AI validation and regression testing. - Improve efficiency through reusable tools and automation best practices. Generative AI & Model Validation - Validate Generative AI models including LLMs, LVMs (multimodal models), and LoRA-based adaptations - Analyze model outputs for accuracy, consistency, robustness, and edge-case behavior - Validate hybrid AI pipelines and RAG-based systems, including retrieval quality and response correctness - Evaluate agentic AI workflows, including multi-step reasoning, tool invocation, and execution reliability Debugging & Stability Engineering - Perform log analysis and root cause investigation. - Conduct stress, performance, and long-duration stability testing. - Debug system, runtime, and model-level issues. Qualifications & Skills Required - BS/MS in Computer Science or related field. - Strong foundation in AI/ML, data structures, and algorithms. - 1-3+ years of experience in software testing or AI validation (fresh graduates with strong AI/ML and programming fundamentals will also be considered) Technical Skills - Strong programming skills in Python, Java, and Shell. - Experience with Linux environments and debugging tools. AI Expertise - Knowledge of LLMs, LVMs, LoRA, and agentic AI concepts. - Understanding of AI inference workflows. Soft Skills - Fast learner and adaptable to fast-paced environments. - Strong team player with excellent communication skills. Preferred - Experience with on-device AI frameworks and automation at scale. - Familiarity with AI evaluation metrics and performance profiling - Familiarity with Qualcomm's ML/AI Frameworks -  QNN SDK or ML SW development kit is a plus Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail  disability-accomodations@qualcomm.com