Principal Robotics Research Engineer

Overview

Analog is looking for an exceptional Principal Robotics Research Engineer to join our core robotics team. In this role, you will help setting the technical direction for our robotic systems research — spanning perception, state estimation, motion planning, and control — and translate fundamental advances into production-grade capabilities deployed on real hardware. You will act as a force-multiplier for the broader engineering organisation, driving both the science and the systems that bring intelligent robots to life.

Responsibilities

Research Leadership & Technical Direction

• Identify breakthrough opportunities across the robotics stack and emerging AI paradigms.
• Translate research insights into impactful and feasible product roadmap initiatives.
• Publish at leading conferences including ICRA, IROS, RSS, and CoRL, while driving patent innovation.

Perception & AI

• Architect multi-modal perception systems integrating vision, LiDAR, radar, depth, and acoustic sensing.
• Lead research in 3D scene understanding, tracking, segmentation, and open-vocabulary recognition.
• Develop foundation models and real-time AI architectures for robotic perception.

State Estimation & Sensor Fusion

• Design robust SLAM, visual-inertial odometry, and GPS/GNSS fusion systems.
• Advance probabilistic and learning-based sensor fusion for resilient localisation.
• Oversee calibration, synchronisation, validation, and benchmarking frameworks.

Motion Planning & Control

• Build planning frameworks for dynamic and unstructured environments.
• Lead MPC, reinforcement learning, imitation learning, and safety-critical control research.
• Drive trajectory optimisation and whole-body robotic motion generation.

System Integration & Deployment

• Own end-to-end integration of perception, planning, estimation, and control systems.
• Establish engineering standards for latency, determinism, and fault tolerance.
• Lead simulation, hardware-in-the-loop testing, and deployment optimisation for onboard compute systems.

Qualifications

• PhD in Robotics Computer Science Electrical or Mechanical Engineering or equivalent research experience
• 10 plus years of robotics research and engineering across perception estimation planning or control
• Strong expertise in C plus plus Python ROS and ROS2 with real time safety critical systems experience
• Proven leadership managing high performing engineering or research teams
• Experience taking robotics solutions from prototype to field deployment
• Strong communication skills across technical product and executive stakeholders
• Experience with PyTorch TensorFlow JAX GPU compute and simulation platforms including Isaac Sim Gazebo and MuJoCo