Software Test Engineer, On-Device AI / Generative AI

Qualcomm

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$94,200–$141,200 / yr
Posted
37 days ago
Freshness
Confirmed live yesterday
Closes
Feb 1, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $184k
This role $118k
$79k most similar roles pay here $240k

This role pays less than 94% of similar roles. Most pay $154,500–$214,000 — the shaded band above. At the midpoint, this role pays about $118k versus about $184k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 623 open roles on FindRole.

Listed pay typically runs $148,300–$222,500 across 603 roles with salary data.

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View all roles at Qualcomm

At a glance

TL;DR · Software Test Engineer, On-Device AI / Generative AI

#Software Test Engineer - On-Device AI / Generative AI will join the engineering team to focus on on-device AI stability, system-level validation, and end-to-end pipeline verification across SoC execution environments including CPU, GPU, DSP, and NPU. The role involves validating generative AI features such as LLMs, LVMs, LoRA-based models, and agentic AI workflows across mobile, PC, and automotive platforms. Key responsibilities include designing validation workflows, developing automation scripts, performing root cause analysis, and monitoring coverage metrics to ensure high reliability for on-device features. The candidate will utilize Python, Java, and Shell in Linux environments to build scalable testing pipelines. Technical requirements include a strong foundation in AI/ML, data structures, and algorithms, alongside experience with RAG systems, inference workflows, and potentially the QNN SDK or ML software development kits.

What you'll do

  • Validate on-device AI solutions across mobile, PC, and automotive platforms for functionality and performance.
  • Develop and execute end-to-end validation workflows including model integration and device bring-up.
  • Test Generative AI use cases involving LLMs, LVMs, LoRA adaptations, and RAG-based systems.
  • Define and track test coverage metrics to identify gaps and monitor regression trends.
  • Build and maintain automated testing frameworks and scripts using Python, Java, and Shell.
  • Analyze model outputs for accuracy, consistency, and edge-case behavior in multi-step reasoning workflows.
  • Perform root cause analysis through log analysis and stress, performance, and stability testing.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
  • Strong foundation in AI/ML, data structures, and algorithms.
  • 1 to 3+ years of experience in software testing or AI validation.
  • Proficiency in programming using Python, Java, and Shell.
  • Experience with Linux environments and debugging tools.
  • Knowledge of LLMs, LVMs, LoRA, and agentic AI concepts.
  • Understanding of AI inference workflows and on-device AI frameworks.
  • Familiarity with Qualcomm's ML/AI Frameworks (QNN SDK or ML SW development kit) is preferred.

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