Lead Robotics Visionary
We seek an exceptional engineer with expertise in AI, ML, and robotics to spearhead the development of innovative mapping solutions.
This hands-on leadership role demands someone who excels at solving complex challenges, mentoring teams, and driving technical innovation.
* Design and deploy SLAM, VIO, and multi-sensor fusion systems for real-time localization and mapping across diverse environments.
* Develop perception algorithms for tasks such as pose estimation, depth reconstruction, loop closure, map optimization, and semantic understanding.
* Architect AI pipelines combining classical and learned methods (e.g., CNNs, transformers) for environmental understanding at the edge.
* Generate 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 robotics, SLAM, Edge AI, and self-supervised learning advancements — guiding the team in adopting cutting-edge technologies.
Requirements:
* 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 one of the following areas:
o Visual-inertial odometry (VIO)
o Multi-sensor fusion (camera, LiDAR, IMU, encoders)
o 3D SLAM and mapping in dynamic environments
o AI-based perception models for real-time localization
Bonus Experience:
* 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).
Join Our Mission:
Help shape the future of edge intelligence where your work bridges sensing and understanding, enabling machines to act meaningfully in the world.