Gen AI Transformation Engineer, Embedded Software & Engineering Productivity

Qualcomm

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$134,800–$202,200 / yr
Posted
64 days ago
Freshness
Confirmed live yesterday
Closes
Jan 5, 2027
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $194k
This role $168k
$123k most similar roles pay here $248k

This role pays less than 62% of similar roles. Most pay $151,981–$235,750 — the shaded band above. At the midpoint, this role pays about $168k versus about $194k 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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At a glance

TL;DR · Gen AI Transformation Engineer, Embedded Software & Engineering Productivity

Role Posting Log in to save

Gen AI Transformation Engineer – Embedded Software & Engineering Productivity is a Staff Engineer role within the Team SPARK group. This position focuses on driving Generative AI transformation across embedded software, platform systems, and engineering infrastructure to improve developer productivity, software quality, and delivery velocity. The successful candidate will convert prioritized engineering use cases into production-ready workflows, building AI-enabled SDLC capabilities for code generation, debugging, test automation, and documentation. Key responsibilities include developing reusable agents, prompts, MCP integrations, and evaluation flows while partnering with cross-functional teams to ensure adoption. Required technical skills include proficiency in Python, C, C++, or Go, along with experience in LLM applications, RAG systems, and prompt design. The role operates within the domain of performance-sensitive software environments, including Linux, Android, RTOS, device drivers, and SoC bring-up for edge AI deployment.

Skills

Generative AI LLM Python C C++ Go RAG MCP CI/CD Linux Android RTOS Device Drivers BSP SoC Edge AI SDLC Test Automation

What you'll do

  • Execute GenAI workstreams with defined deliverables, milestones, and success criteria.
  • Convert prioritized engineering use cases into prototypes, pilots, and production-ready workflows.
  • Build AI-enabled SDLC capabilities for code generation, review support, debugging, and test automation.
  • Develop reusable agents, prompts, tools, MCP integrations, and evaluation flows.
  • Partner with internal teams to onboard GenAI workflows and resolve integration issues.
  • Track and report on usage, adoption metrics, and productivity impacts to leadership.

What we're looking for

  • Bachelor's degree with 4+ years of experience, Master's with 3+ years, or PhD with 2+ years in Engineering, Information Systems, Computer Science, or a related field.
  • At least 2 years of work experience with programming languages such as C, C++, Java, or Python.
  • 3+ years of hands-on experience building, integrating, or deploying AI/ML, GenAI, LLM applications, or AI-enabled engineering workflows.
  • Strong understanding of GenAI concepts, including LLM usage patterns, prompt design, model integration, and evaluation.
  • Proficiency in Python, C, C++, or Go with knowledge of design, testing, CI/CD, and release workflows.
  • Experience working in embedded, platform, systems, or performance-sensitive software environments.
  • Preferred experience with AI agents, RAG systems, MCP services, and tool-calling workflows.
  • Familiarity with Linux, Android, RTOS, device drivers, and edge AI deployment is preferred.

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