We Love AI JobsSenior Robotics Engineer
AnalogThe Senior Robotics Engineer will develop and deploy intelligent robotic systems using perception, estimation, sensor fusion, and control methods. The role collaborates with researchers and engineers to integrate and test robotics capabilities in real-world environments.
Skills & Expertise
Key Responsibilities
Develop perception systems and sensor-fusion pipelines using deep learning and multimodal sensor data.
Integrate estimation, perception, and control modules into robotic systems and conduct field tests.
Optimize algorithms for real-time execution on CPUs, GPUs, and FPGAs.
Full Description
We are seeking a highly skilled Senior Robotics Engineer to join our advanced robotics team. In this role, you will design, develop, and deploy intelligent robotic systems that leverage cutting-edge AI, computer vision, perception, estimation, sensor fusion, and control algorithms. You will collaborate with a multidisciplinary team of researchers, engineers, and product developers to bring novel robotic capabilities from concept to deployment in real-world environments.
Responsibilities
AI & Perception
• Develop and integrate perception systems using computer vision, deep learning, and multimodal sensing.
• Build and maintain sensor fusion pipelines combining LiDAR, cameras, IMU, radar, and GNSS.
• Implement probabilistic filters (Kalman, EKF/UKF, Particle) for robust estimation under uncertainty.
Controls & Planning
• (This section was empty in your original)
System Integration & Deployment
• Integrate estimation, perception, and control modules into robotic systems, ensuring seamless hardware/software interoperability.
• Conduct simulations, validation, and large-scale field tests to evaluate performance.
• Optimize algorithms for real-time execution on CPUs, GPUs, and FPGAs.
Leadership & Collaboration
• Collaborate with cross-disciplinary teams in hardware, embedded systems, and software.
• Stay current with advances in robotics, AI, perception, estimation, and controls, and integrate novel research into applied solutions.
Qualifications
• Strong proficiency in C++ and Python for robotics and AI development.
• Hands-on experience with robotics frameworks such as ROS/ROS2.
• Practical knowledge of SLAM and LiDAR-based perception systems.
• Experience deploying reinforcement learning algorithms in simulation and on real robots.
• Familiarity with cloud-based robotics platforms (e.g., AWS RoboMaker, Azure IoT Hub, Google Cloud Robotics).
• Proficiency with simulation tools (e.g., Gazebo, Isaac Sim, or Webots) and visualization frameworks (e.g., RViz).
• Strong software engineering practices: version control (Git), CI/CD, containerization (Docker).