Gen AI Transformation Engineer - Embedded Software & Engineering Productivity in San Diego

Energy Jobline
San Diego, CA, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$134,800.0 - $202,200.0
Working hours
Regular working hours

Tech stack

C (Programming Language) Java (Programming Language) Artificial Intelligence Android Software Development Automation of Tests Binary Space Partitioning Software Bug Management C++ (Programming Language) Information Systems Computer Programming Continuous Integration Software Debugging
+14 more
Linux Device Drivers Embedded Software Python (Programming Language) Log Analysis Productivity Software Systems Development Life Cycle Real-Time Operating Systems Software Engineering Systems Integration Large Language Models Apache Spark Information Technology Engineering Base

Job description

This role works closely with SPARK leadership, GenAI platform teams, and engineering stakeholders to execute the roadmap. The Staff Engineer will take technical direction, own defined workstreams, build reusable AI-enabled workflows, and drive practical adoption of secure, measurable GenAI solutions., n \n

  • Execute assigned GenAI workstreams with clear deliverables, milestones, adoption goals, and success criteria. \n

  • Convert prioritized engineering use cases into prototypes, pilots, and production-ready workflows. \n

  • Build and maintain AI-enabled SDLC capabilities for code understanding, , review support, debugging, test automation, documentation, and release readiness. \n

  • Develop reusable agents, prompts, tools, MCP integrations, evaluation flows, and automation patterns based on leadership direction and team feedback. \n

  • Partner with embedded, platform, and software teams to onboard workflows, resolve integration issues, improve usability, and increase adoption. \n

  • Track execution status, usage, adoption, productivity impact, risks, and blockers; share concise updates with leadership and stakeholders. \n

Requirements

  • Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. \n \n OR\n \nMaster’s degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.\n \n OR\n \nPhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.\n \n \n* 2+ years of work experience with Programming such as C, C++, Java, Python, etc.\n, * 3+ years of hands-on experience building, integrating, or deploying AI/ML, GenAI, LLM applications, developer productivity tools, or AI-enabled engineering workflows. \n

  • Strong understanding of GenAI concepts, LLM usage patterns, prompt/context design, model/tool integration, evaluation, and engineering applications. \n

  • Strong software engineering skills in Python, C, C++, or Go, with familiarity across design, implementation, testing, CI/CD, and release workflows. \n

  • Experience in embedded, platform, systems, or performance-sensitive software environments. \n

  • Ability to independently execute assigned initiatives while collaborating with leadership, architects, product teams, and cross-functional stakeholders. \n, * Experience with AI agents, RAG/context-aware systems, MCP services, tool-calling workflows, evaluation harnesses, prompt/skill libraries, or AI automation platforms. \n

  • Experience with AI-enabled developer productivity use cases such as code , review support, defect triage, log analysis, test , documentation, or security analysis. \n

  • Familiarity with Linux, Android, RTOS, device drivers, BSP, SoC bring-up, hardware/software interfaces, camera, multimedia, sensors, or edge AI deployment. \n

Benefits & conditions

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To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

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EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to , , , , , , , , Veteran status, or any other protected classification.

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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.

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Pay range and Other Compensation & Benefits:

$134,800.00 - $202,200.00\n

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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.

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