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

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Nutanix
Full Time position
Listed on 2026-08-13
Job specializations:
  • Software Development
    AI QA / Validation Engineer, AI Engineer (Applied/Software), AI Reliability/ Performance Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 94200 - 141200 USD Yearly USD 94200.00 141200.00 YEAR
Job Description & How to Apply Below
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.

Key Responsibilities 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 disabili or call Qualcomm's toll-free number found here .

Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible…
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