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Principal AI Engineer
2 weeks ago
We are seeking a highly skilled and experienced principal engineer to lead the development of real-world localization and mapping solutions.
">- Design, develop, and deploy 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.
The ideal candidate will have 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. A M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or related field is required. The candidate should demonstrate 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
Strong programming skills in Python and C++, with experience in frameworks like PyTorch, ROS, g2o, or Ceres are necessary. Familiarity with MLOps and software best practices: CI/CD, containerization (Docker), orchestration (Kubernetes), etc. is also required. Excellent communication and collaboration skills are essential for this role.
We offer a competitive compensation package and opportunities for professional growth and development. Join us in shaping the future of edge intelligence where your work bridges the gap between sensing and understanding.
