
Analog Devices is a global leader in the design and manufacturing of mixed-signal and digital signal processing integrated circuits (ICs). The company provides a comprehensive portfolio of solutions across multiple industries including aerospace, automotive, communications, consumer electronics, energy, industrial automation, and healthcare. Their products enable innovative applications such as clinical-grade remote monitoring in healthcare, advanced sensors, AI-driven hospital-at-home solutions, and precision measurement technologies. Analog Devices differentiates itself through deep domain expertise, extensive product breadth, and integration capabilities that support high performance, low power consumption, and compact designs. The company serves a broad customer base including industrial manufacturers, healthcare providers, automotive OEMs, and communication infrastructure companies, positioning itself as a key enabler of next-generation technologies and digital transformation across sectors.

Analog Devices is a global leader in the design and manufacturing of mixed-signal and digital signal processing integrated circuits (ICs). The company provides a comprehensive portfolio of solutions across multiple industries including aerospace, automotive, communications, consumer electronics, energy, industrial automation, and healthcare. Their products enable innovative applications such as clinical-grade remote monitoring in healthcare, advanced sensors, AI-driven hospital-at-home solutions, and precision measurement technologies. Analog Devices differentiates itself through deep domain expertise, extensive product breadth, and integration capabilities that support high performance, low power consumption, and compact designs. The company serves a broad customer base including industrial manufacturers, healthcare providers, automotive OEMs, and communication infrastructure companies, positioning itself as a key enabler of next-generation technologies and digital transformation across sectors.
Business: AI-driven condition-based monitoring for electric motors packaged as Smart Motor Sensor (SMS)
Owner: Branded under Analog Devices (ADI) following acquisition
Founders: Sebastien Christian and Thor Whalen
Tech: Sensing interpretation using sound and vibration with machine learning
Predictive maintenance and condition monitoring for electric motors and industrial equipment.
Industrial IoT / Predictive Maintenance
Crunchbase lists last round as a convertible note prior to acquisition
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Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X). Ireland Edge AI Group, Analog Devices Inc. (ADI) Analog Devices’ Edge AI team is on a mission to redefine how machines perceive and interact with the world. We’re building real-time, intelligent systems that combine world-class sensor technology with cutting-edge AI — at the Edge, where milliseconds matter. We are looking for a with a strong background in to help us build systems that localize, map, and understand complex environments. Whether it’s a mobile robot navigating a warehouse, or an intelligent sensor inferring structure from sparse data — your algorithms will enable precise, real-time environmental awareness. You’ll be a core contributor to the development of robust and efficient AI-based perception systems, working alongside experts in hardware, embedded systems, and AI software. This is a hands-on role that blends applied research with production-grade engineering. * Design, prototype, and deploy algorithms for SLAM, visual odometry, and multi-sensor fusion (e.g., camera, IMU, LiDAR, encoders) in robotics and edge computing applications. * Develop AI-driven methods for mapping, pose estimation, localization, and semantic perception, with an emphasis on performance and generalization. * Train and evaluate deep learning models for spatial understanding, integrating with classical perception pipelines when needed. * Work with real-world and simulated sensor data to test and refine models; contribute to internal datasets and benchmarking tools. * Collaborate with embedded, systems, and software teams to bring perception solutions to production on resource-constrained edge platforms. * Participate in project planning, code reviews, and architectural discussions; take ownership of technical areas and deliver high-quality, reliable implementations. * Stay current with trends in AI for robotics (e.g., transformer-based perception, self-supervised learning, foundation models), and help integrate relevant advancements into our workflows. * 6+ years of experience in AI, robotics, or computer vision, including 4+ years focused on SLAM, sensor fusion, or perception systems. * Bachelor’s degree in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering); M.S. or Ph.D. preferred. * Strong understanding of 3D geometry, motion estimation, sensor fusion, and real-time system design. * Hands-on experience building and deploying SLAM or VIO systems (e.g., ORB-SLAM, RTAB-Map, DSO, OpenVINS, Cartographer). * Proficient in Python and C++, with practical experience using PyTorch, TensorFlow, or ROS. * Comfortable working with real-world sensor data (e.g., stereo cameras, LiDAR, IMU) and simulation tools like Gazebo, Isaac Sim, or Unreal. * Experience with DevOps/MLOps tools: Docker, CI/CD pipelines, cloud platforms (Azure, AWS), version control (Git). * Skilled at communicating technical insights, collaborating with multi-disciplinary teams, and contributing to shared architectural decisions. * Experience integrating perception models with control loops, path planning, or robot operating systems (ROS2). * Knowledge of self-supervised or foundation model-based perception techniques. * Familiarity with industrial robotics, AMRs, or autonomous systems in structured environments. * Contributions to open-source robotics or AI frameworks. Join ADI’s Edge AI team to help create truly intelligent edge systems — where sensing, learning, and acting happen in real time. You’ll work in a fast-paced, collaborative environment, solving hard problems with people who care about impact, reliability, and real-world performance. Job Req Type: Experienced Required Travel: Yes, 10% of the time Shift Type: 1st Shift/Days