Principal Gen AI Transformation - Embedded Software & Engineering Productivity

Qualcomm

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$192,600–$289,000 / yr
Posted
65 days ago
Freshness
Confirmed live 2 days ago
Closes
Jan 5, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $222k
This role $241k
$151k most similar roles pay here $304k

This role pays more than 64% of similar roles. Most pay $191,967–$252,875 — the shaded band above. At the midpoint, this role pays about $241k versus about $222k for comparable roles.

Based on 239 similar postings.

Employer

About Qualcomm

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

Qualcomm currently has 621 open roles on FindRole.

Listed pay typically runs $147,900–$222,500 across 601 roles with salary data.

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At a glance

TL;DR · Principal Gen AI Transformation - Embedded Software & Engineering Productivity

Principal, Gen AI Transformation - Embedded Software & Engineering Productivity joins Team SPARK to lead the generative AI transformation across embedded software, platform systems, and engineering infrastructure. This leadership role focuses on defining and scaling AI-first practices to improve developer productivity, software quality, and delivery velocity. The successful candidate will build agentic SDLC initiatives covering code generation, review, debugging, and test automation while developing reusable AI assets like tools, plugins, and MCP integrations. Key responsibilities include establishing secure, governed AI workflows and tracking performance metrics. Required expertise includes LLM-based systems, RAG, and experience with C, C++, Python, or Go. The role addresses the challenge of transitioning from AI-assisted to AI-native engineering in complex environments involving embedded platforms, Linux, Android, and RTOS, ensuring high-quality software delivery through automated, scalable, and secure production-grade workflows.

What you'll do

  • Define and drive the GenAI transformation roadmap for engineering productivity across the CPSG organization.
  • Lead AI-native and agentic SDLC initiatives including code generation, review, debugging, and test automation.
  • Build reusable AI assets such as agents, tools, plugins, and governed workflow patterns.
  • Identify high-value embedded and software workflows to create scalable capabilities that reduce team duplication.
  • Establish secure and responsible AI practices regarding governance, data handling, and cost optimization.
  • Develop metrics and dashboards to track AI adoption, productivity gains, and security compliance.
  • Serve as a technical thought leader and executive advisor to communicate strategy and risk.

What we're looking for

  • Bachelor's degree in Engineering or Computer Science with 8+ years of experience, Master's with 7+ years, or PhD with 6+ years.
  • At least 4 years of work experience with programming languages such as C, C++, Java, or Python.
  • Demonstrated Principal-level technical leadership, cross-team influence, and architecture ownership in large-scale engineering environments.
  • Deep expertise in Generative AI, LLM-based systems, model selection, evaluation, and optimization for production-grade workflows.
  • Hands-on experience building agentic workflows, RAG systems, and AI-enabled developer tools or automation frameworks.
  • Strong understanding of the full SDLC, including CI/CD, security workflows, and productivity measurement.
  • Proficiency in secure software development, responsible AI governance, data protection, and risk management for enterprise systems.
  • Experience in systems software, embedded software, or performance-sensitive environments using C, C++, Python, or Go.

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