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

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., 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

• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field., 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

4.04.0 out of 5 stars San Diego, CA $94,200 - $141,200 a year, Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits : $94,200.00 - $141,200.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link .

Qualcomm Technologies, Inc.