Environmental Perception Systems Architect

Analog Devices is seeking a skilled robotics engineer to join our Edge AI team. As a key member of our team, you will play a critical role in designing and deploying next-generation sensing systems that reshape how machines perceive and interact with the physical world.

Our team is focused on building intelligent sensing systems that enable real-time mapping and localization across diverse environments. We are looking for an expert in SLAM, VIO, and multi-sensor fusion who can lead algorithm development and evaluation for perception tasks, including pose estimation, depth reconstruction, loop closure, map optimization, and semantic understanding.

You will be responsible for architecting AI pipelines that combine classical and learned methods (e.g., CNNs, transformers, foundation models) for environmental understanding at the edge. Additionally, you will develop real-world and simulation-based datasets for benchmarking and validation; guide sensor selection and system integration.

As a technical leader, you will collaborate cross-functionally with embedded, hardware, and systems engineers to bring scalable solutions from research to production. You will stay current with the state of the art in robotics, SLAM, Edge AI, and self-supervised learning — and guide the team in adopting innovative technologies.

We foster a culture where everyone has an opportunity to succeed regardless of their background or experience. Our team is passionate about delivering high-quality solutions that make a meaningful impact on the world.

• 10+ years of experience in robotics, computer vision, or AI, including 5+ years in SLAM, VO, or sensor fusion; with 3+ years in a technical leadership role.
• M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or related field.
• Demonstrated expertise in at least one of the following:
  • Visual-inertial odometry (VIO)
  • Multi-sensor fusion (camera, LiDAR, IMU, encoders)
  • 3D SLAM and mapping in dynamic environments
  • AI-based perception models for real-time localization
• Proven track record of deploying perception algorithms in real-world systems (e.g., autonomous robots, drones, AR/VR, self-driving platforms).
• Strong programming skills in Python and C++, with experience in frameworks like PyTorch, ROS, g2o, or Ceres.
• Comfortable working with real-time systems, embedded platforms, or simulators such as Gazebo, Isaac Sim, or Unreal Engine.
• Familiar with MLOps and software best practices: CI/CD, containerization (Docker), orchestration (Kubernetes), etc.
• Excellent communicator and collaborator — capable of leading multi-disciplinary teams and influencing stakeholders across hardware, software, and business domains.

• Experience with self-supervised learning, foundation models for robotics, or transformer-based perception architectures.
• Familiarity with industrial domains: factory automation, AMRs, predictive maintenance, etc.
• Prior contributions to open-source projects (e.g., OpenVINS, ORB-SLAM3, DROID-SLAM, RTAB-Map, Cartographer).
• Understanding of sensor design, signal processing, or embedded AI hardware platforms.

Join us in shaping the future of edge intelligence — where your work bridges the gap between sensing and understanding, and where you'll help machines not just gather data, but act meaningfully in the world.

As an equal opportunity employer, we foster a culture where everyone has an opportunity to succeed regardless of their background or experience. Our team is passionate about delivering high-quality solutions that make a meaningful impact on the world.

• Location: Limerick, Ireland
• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Semiconductor Manufacturing
• Required Travel: Yes, 10% of the time
• Shift Type: 1st Shift/Days