Principal, Gen AI Transformation - Embedded Software & Engineering Productivity
Role details
Job location
Tech stack
Job description
- Define and drive the GenAI transformation roadmap for engineering productivity across CPSG, with clear priorities, adoption plans, and measurable outcomes.
- Lead AI-native and agentic SDLC initiatives across requirements, code understanding, code generation, code review, debugging, test automation, release readiness, and documentation.
- Partner with GenAI platform and engineering teams to build reusable agents, skills, tools, plugins, MCP integrations, and governed workflow patterns.
- Identify high-value embedded and software workflows, turn them into reusable capabilities, and scale adoption across teams to reduce duplication and increase leverage.
- Establish secure and responsible AI practices across governance, permissions, auditability, model/tool selection, data handling, context management, and cost optimization.
- Define metrics and dashboards to track AI adoption, productivity gains, workflow efficiency, quality improvements, security compliance, and business impact.
- Serve as a technical thought leader, mentor, and executive-facing advisor who raises AI fluency and communicates strategy, progress, risks, and impact clearly.
Impact
- Accelerate CPSG's transition from AI-assisted development to AI-native and agentic engineering workflows.
- Deliver measurable improvements in productivity, quality, release confidence, security posture, and development cycle time.
- Create reusable AI assets, workflow patterns, and governance models that scale across teams and product lines.
- Act as a technical multiplier who shapes the long-term evolution of AI-enabled embedded and software engineering across the organization.
Requirements
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Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience., Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
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4+ years of work experience with Programming Language such as C, C++, Java, Python, etc., * Demonstrated Principal-level technical leadership, cross-team influence, architecture ownership, and organization-scale impact.
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Deep expertise in Generative AI, AI/ML fundamentals, LLM-based systems, model/tool selection, evaluation, optimization, and practical application in engineering environments.
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Hands-on experience building, deploying, or integrating GenAI solutions such as agentic workflows, RAG/context-aware systems, developer tools, automation frameworks, or AI-enabled engineering platforms.
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Proven ability to lead large-scale technical transformation across teams, influence without authority, shape architecture, and drive adoption in complex engineering organizations.
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Strong understanding of the SDLC, including requirements, design, implementation, code review, testing, CI/CD, release readiness, security workflows, and productivity measurement.
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Strong foundation in secure software development, responsible AI usage, data protection, governance, observability, and risk management for enterprise AI systems.
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Experience in systems software, embedded software, platform software, or performance-sensitive engineering environments, with proficiency in languages such as C, C++, Python, or Go.
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Excellent communication, collaboration, mentoring, and executive-facing storytelling skills, with the ability to translate technical depth into clear strategy and measurable impact., * Experience building AI agents, multi-agent workflows, MCP services, tool-calling systems, evaluation harnesses, prompt/skill libraries, or governed AI automation platforms.
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Experience with AI-enabled developer productivity use cases such as code generation, code review, defect triage, log analysis, test generation, documentation, release validation, or security analysis.
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Familiarity with embedded platforms, Linux, Android, RTOS, device drivers, BSP, SoC bring-up, hardware/software interfaces, or protocols such as I2C, SPI, UART, USB, or PCIe.
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Experience with camera, multimedia, sensors, power/performance, kernel, middleware, platform software, or AI deployment on edge/resource-constrained systems.
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5+ years of hands-on AI/ML, GenAI, LLM application development, AI platform, or AI-enabled engineering workflow experience preferred.
Benefits & conditions
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits : $192,600.00 - $289,000.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link .