
Senior Robotics Developer
1 day ago
Job Overview:
Seeking a Senior AI/ML Robotics Engineer with extensive expertise in computer vision, robotics and programming to lead the development of real-world localization and mapping solutions.
This is a hands-on leadership role for someone who thrives on solving complex technical challenges, defining product roadmaps, and mentoring other engineers.
Key Responsibilities:
- Design, deploy and integrate SLAM, VIO, and multi-sensor fusion systems for robust, real-time mapping and localization.
- Develop and evaluate 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.
- Contribute to the development of real-world and simulation-based datasets for benchmarking and validation; guide sensor selection and system integration.
- Collaborate with cross-functional teams to bring scalable solutions from research to production.
- Stay current with advancements in robotics, Edge AI, and self-supervised learning — and guide the team in adopting innovative 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 at least one of the following areas:
- 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.
Bonus Skills:
- 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.
About the Role:
As a leading-edge technology company, we are committed to fostering a culture where everyone has an opportunity to succeed regardless of their background or affiliation.
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