Principal AI Engineer for Robotics and Perception

2 weeks ago

Limerick, Limerick, Ireland beBeeEngineer Full time
Job Description

This is an exciting opportunity to lead the development of real-world localization and mapping solutions. As a Principal Engineer in AI for Visual Perception, SLAM, and Sensor Fusion, you will work at the intersection of embedded sensing, robotics, and machine learning.

Our team is building the next generation of intelligent sensing systems that reshape how machines perceive and interact with the physical world. We are looking for someone with deep domain expertise in visual odometry, sensor fusion, SLAM, and AI-based perception to lead the development of real-world localization and mapping solutions.

The ideal candidate will have experience in leading multi-disciplinary teams and influencing stakeholders across hardware, software, and business domains. They will also be comfortable working with real-time systems, embedded platforms, or simulators such as Gazebo, Isaac Sim, or Unreal Engine.

Key Responsibilities:

  • Lead the design and deployment of SLAM, VIO, and multi-sensor fusion systems that enable robust, real-time mapping and localization across diverse environments.
  • Drive algorithm development and evaluation for perception tasks, including pose estimation, depth reconstruction, loop closure, map optimization, and semantic understanding.
  • Architect AI pipelines that combine classical and learned methods (e.g., CNNs, transformers, foundation models) for environmental understanding at the edge.
  • Develop real-world and simulation-based datasets for benchmarking and validation; guide sensor selection and system integration.
  • Collaborate cross-functionally with embedded, hardware, and systems engineers to bring scalable solutions from research to production.
  • 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.
  • Contribute to the broader AI platform architecture, CI/CD pipelines, and MLOps practices.
Requirements

To be successful in this role, you will need:

  • 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.
What We Offer

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. Our team is passionate about innovation and collaboration, and we believe in creating a positive and inclusive work environment.

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