On-Device AI Validation Engineer

Nutanix

San Diego (CA)

On-site

USD 94,000 - 141,000

Full time

14 days+

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Job summary

Qualcomm Technologies, Inc. in San Diego, CA, is seeking an engineer focused on on-device AI stability and system-level validation. You will work across SoC environments (CPU, GPU, DSP, NPU) to verify end-to-end AI pipelines, including LLMs, LVMs, LoRA adaptations, and agentic AI workflows.

Strong testing, automation, and Python/Java scripting skills are essential. Responsibilities include designing validation workflows, expanding AI test coverage, and maintaining automation frameworks to ensure

Qualifications

  • BS/MS in Computer Science or related field.
  • Strong foundation in AI/ML, data structures, and algorithms.
  • 1-3+ years of software testing or AI validation experience (fresh graduates with strong AI/ML and programming fundamentals will be considered).
  • Fresh graduates with strong AI/ML and programming fundamentals will also be considered.

Responsibilities

  • On-device AI testing 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 development, device bring-up, and full system validation on target hardware.
  • Validate Generative AI models including LLMs, LVMs, and LoRA-based adaptations; analyze model outputs for accuracy, consistency, and robustness.
  • Develop new and maintain existing automation frameworks and scripts using Python, Java, and Shell; build scalable pipelines for AI validation and regression testing.

Skills

Python
Java
Shell

Education

BS in Computer Science or related field
MS in Computer Science or related field

Tools

Linux environments

Job description

Qualcomm Technologies, Inc. in San Diego, CA, is seeking an engineer focused on on-device AI stability and system-level validation. You will work across SoC environments (CPU, GPU, DSP, NPU) to verify end-to-end AI pipelines, including LLMs, LVMs, LoRA adaptations, and agentic AI workflows.

Strong testing, automation, and Python/Java scripting skills are essential. Responsibilities include designing validation workflows, expanding AI test coverage, and maintaining automation frameworks to ensure

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