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Vice President of Engineering

TDK AIsight

San Diego · On-site Full-time Executive Today

About the role

TDK AISight is building the next generation of AI-powered wearable technologies, including smart glasses and context-aware devices that combine custom silicon, ultra-low-power sensing, embedded intelligence, multimodal interfaces, and connected software platforms.

We are seeking a Vice President of Engineering to lead the multidisciplinary organization responsible for bringing these products from concept to scaled production. This leader will guide teams spanning hardware, firmware, embedded systems, machine learning, cloud infrastructure, mobile software, systems integration, and manufacturing engineering across a globally distributed environment.

This is an opportunity to help shape products at the intersection of AI, wearables, sensors, edge computing, and human interaction.

What You’ll Lead

You will drive engineering strategy, execution, and organizational development across a highly integrated technology stack supporting next-generation wearable platforms.

Areas of responsibility include:

  • Embedded systems, firmware, RTOS, Linux, Android, and cloud-connected software platforms
  • AI and machine learning systems for always-on sensing, computer vision, audio AI, sensor fusion, and contextual intelligence
  • Low-power hardware platforms including sensors, cameras, battery systems, wireless connectivity, haptics, and display interfaces
  • Silicon and system architecture spanning MCU, DSP, accelerator, and edge AI platforms
  • Cross-functional product delivery from prototype through EVT/DVT/PVT, manufacturing ramp, and launch

You will partner closely with Product, Operations, Manufacturing, Supply Chain, and external development partners to deliver high-quality products on ambitious timelines while building a strong and collaborative engineering culture.

What We’re Looking For

  • 15+ years of engineering leadership experience with increasing organizational scope
  • Experience leading large multidisciplinary engineering organizations across hardware and software domains
  • Proven success delivering complex consumer electronics, wearable, mobile, AR/VR, or edge AI products at scale
  • Strong technical depth across embedded systems, low-power hardware, firmware, software platforms, and systems integration
  • Experience managing globally distributed teams, ODMs, manufacturing partners, and external engineering vendors
  • Ability to balance strategic leadership with thoughtful technical engagement and organizational development
  • Strong communication skills with the ability to align technical and business stakeholders across functions and regions

Areas of Technical Depth

We are particularly interested in leaders with experience in several of the following:

  • AI wearables, smart glasses, XR, or context-aware systems
  • Embedded AI, edge inference, computer vision, audio AI, or multimodal sensing
  • Firmware, embedded Linux, Android, RTOS, or cloud-connected platforms
  • Custom silicon, SoC architecture, accelerators, or low-power system optimization
  • Cameras, sensors, wireless systems, battery-powered devices, or thermal optimization
  • Hardware/software co-design and system-level optimization

Leadership Style

The ideal candidate is a collaborative and thoughtful technical leader who builds strong teams, develops leaders, and creates clarity in complex environments. They bring strong execution discipline, sound engineering judgment, and a practical approach to delivering products that balance innovation, quality, manufacturability, and user experience.

Why Join TDK AIsight

  • Build foundational technologies for next-generation AI wearables
  • Lead globally distributed teams solving deeply technical challenges
  • Influence products spanning silicon, embedded systems, AI, sensors, and cloud platforms
  • Help shape the future of human-device interaction through real-world products
  • Join a collaborative environment focused on meaningful innovation and long-term impact

Skills

AIAndroidAWS LambdaComputer VisionCustom SiliconDSPEdge AIEmbedded LinuxEmbedded SystemsFirmwareHapticsHardwareHuman InteractionLinuxMachine LearningMCUMobile SoftwareMultimodal InterfacesRTOSSensorsSiliconSmart GlassesSoCSoftwareSystem ArchitectureSystems IntegrationWearables

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