About Analog Devices
Analog Devices, Inc. (NASDAQ : ) 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 atand onand.
Principal Engineer – Edge AI & Intelligent Sensing
Analog Devices’ Edge AI group is building the next generation of intelligent sensing systems — enabling machines to perceive, reason, and act at the edge. Our work spans foundation models for sensing, multimodal perception, SLAM / VIO, and real-time inference on resource-constrained hardware. We fuse advanced sensor architectures with state-of-the-art AI to redefine what autonomy can be in industrial environments.
We are seeking a Principal AI Engineer with deep expertise in machine learning for perception, multimodal intelligence, or time-series understanding. Robotics experience is welcome but not required — what matters is your ability to bring modern AI methods to embodied systems and help shape the future of autonomous machines.
Key Responsibilities
* Lead the design of AI-first perception pipelines for real-time localization, mapping, and scene understanding.
* Architect models that integrate deep learning (CNNs, transformers, foundation models) with classical robotics algorithms.
* Develop algorithms for pose estimation, depth prediction, loop closure, semantic scene understanding, and multimodal fusion.
* Design and curate datasets for sensor-rich, dynamic environments — including image, depth, IMU, LiDAR, and multi-timescale time series.
* Collaborate with robotics, embedded, and hardware teams to bring models from research into robust, production-grade systems.
* Drive advances in self-supervised learning, multimodal fusion, and Edge AI model compression / acceleration.
* Contribute to AI platform architecture, tooling, and MLOps for continuous deployment.
Qualifications
* 10+ years in applied AI, perception, or machine learning (robotics background not required).
* M.S. or Ph.D. in Computer Science, Robotics, EE, Math, or similar.
* Demonstrated expertise in AI-based perception : vision transformers, depth estimation, optical flow, representations, or multimodal fusion;time-series modeling, dynamical systems learning, or predictive models.
* Strong experience taking AI systems from concept to deployment.
* Programming proficiency in Python and ML frameworks (PyTorch preferred).
* Experience collaborating with cross-functional engineering teams (embedded, systems, hardware).
Highly Valued (Not Required)
Experience in any of :
* Visual-inertial odometry (VIO), SLAM, or multi-sensor fusion.
* Foundation models for robotics, self-supervised learning, or large-scale representation learning.
* Open-source contributions (e.g., DROID-SLAM, RTAB-Map, OpenVINS).
* Real-time or resource-constrained deployment (CUDA, TensorRT, edge accelerators).
* Robotics simulators (Isaac Sim, Gazebo, Unreal).
Why Join ADI?
At ADI, you’ll work at the intersection of sensing, physics, AI, and autonomy. You’ll shape the future of Edge AI by bringing advanced models into contact with the real physical world — enabling autonomous machines that understand and adapt to the environments they operate in.
You’ll join a team that believes the next frontier in AI is embodied intelligence, where learning meets real sensors, real environments, and real decisions.
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Job Req Type: Experienced Required Travel: Yes, 10% of the time Shift Type: 1st Shift / Days
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