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Engineering

Vista,CA

570 Engineering jobs in Vista,CA

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Amazon - Solana Beach, CA

Amazon Package Delivery Driver - Earn $22.00 - $28.00/hr
$22-$28/hr
~ 27 min Onsite
New, Posted 13 hours ago
Field Service Engineer

Corporate Technologies, LLC.

San Diego, CA 92108

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Senior Specialist, Mechanical Engineer (Mechanisms)

L3Harris Technologies

Carlsbad, CA 92008

Bilingual Preferred
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Senior Project Engineer

One Stop Systems

Escondido, CA 92029

Combat Systems Engineer II

RTX Corporation

San Diego, CA 92108

Flexible Schedule
New, Posted 1 hour ago
Field Service Engineer II (LCMS) San Diego, CA REMOTE

Thermo Fisher Scientific

San Diego, CA 92121

Remote
New, Posted 23 hours ago
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Engineer:Mechanical Engineer/CNC Programmer/CNC Machinist

Western CNC

Vista, CA 92084

Electrical Systems Engineer

Leidos

Vista, CA 92085

New, Posted 23 hours ago
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Staff Technical Sourcer - Aircraft Engineering

Shield AI

San Diego, CA 92154

New, Posted 2 hours ago
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Engineer I/II

San Diego County Water Authority

San Diego, CA 92123

$48.65-$65.43/hr

89% of jobs ask for a resume

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89% of jobs ask for a resume

Don't let the perfect job slip away—upload your resume and we'll personalize your results instantly.

Apply Directly
Principal, Gen AI Transformation - Embedded Software & Engineering Productivity

Qualcomm

San Diego, CA 92154

~ 45 min Onsite

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience.
  • OR 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.
  • 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.
  • Deep expertise in Generative AI, AI/ML fundamentals, LLM-based systems, model/tool selection, evaluation, optimization, and practical application in engineering environments.
  • 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.
  • Proven ability to lead large-scale technical transformation across teams, influence without authority, shape architecture, and drive adoption in complex engineering organizations.
  • Strong understanding of the SDLC, including requirements, design, implementation, code review, testing, CI/CD, release readiness, security workflows, and productivity measurement.
  • Strong foundation in secure software development, responsible AI usage, data protection, governance, observability, and risk management for enterprise AI systems.
  • Experience in systems software, embedded software, platform software, or performance-sensitive engineering environments, with proficiency in languages such as C, C++, Python, or Go.
  • 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.
  • 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.
  • 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.
  • Experience with camera, multimedia, sensors, power/performance, kernel, middleware, platform software, or AI deployment on edge/resource-constrained systems.
  • 5+ years of hands-on AI/ML, GenAI, LLM application development, AI platform, or AI-enabled engineering workflow experience preferred.
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