Principal AI/ ML Robotics Engineer - Environmental Perception
Core
Lead the development of real-world localization and mapping solutions using visual odometry, sensor fusion, and AI-based perception for autonomous systems in factories, warehouses, and vehicles.
Role type
Principal IC robotics engineer (SLAM, visual perception, sensor fusion)
Builds
Real-time mapping and localization systems for autonomous robots, drones, and self-driving platforms
Domain
Robotics, Computer Vision, Edge AI, Sensor Fusion
Deliverable
production ML models
Required skills
Visual-inertial odometry (VIO), Multi-sensor fusion (camera, LiDAR, IMU), 3D SLAM and mapping, AI-based perception models, Python, C++, PyTorch, ROS, g2o, Ceres, MLOps, CI/CD, Docker, Kubernetes
Preferred skills
Self-supervised learning, foundation models for robotics, transformer-based perception architectures, industrial domain experience (factory automation, AMRs), open-source contributions, sensor design, signal processing, embedded AI hardware
Technologies
PyTorch, ROS, g2o, Ceres, Docker, Kubernetes, Gazebo, Isaac Sim, Unreal Engine
Responsibilities
Lead design and deployment of SLAM, VIO, and multi-sensor fusion systems; Drive algorithm development and evaluation for perception tasks; Architect AI pipelines combining classical and learned methods; Develop real-world and simulation-based datasets; Collaborate cross-functionally with embedded and hardware engineers; Guide team in adopting innovative technologies; Contribute to AI platform architecture and MLOps practices
Seniority
Principal, hands-on IC with technical leadership
