MTS, Robotics Engineer

We are seeking an exceptional Member of Technical Staff, Robotics Engineer to join our cutting-edge Robotics and AI team. The ideal candidate brings deep, hands-on experience in autonomous mobile robots (AMRs), aerial drones, and, ideally, humanoid robots. You will play a strategic and technical leadership role in developing intelligent, autonomous systems across various platforms.

This role requires a strong foundation in embedded systems, a solid grasp of neural networks and AI, and an up-to-date understanding of advancements in Generative AI (GenAI). Expertise in Lidar-based SLAM and Visual SLAM is critical for success in this role.

Key Responsibilities:

• Lead architecture, design, and development of software and hardware systems for AMRs, drones, and/or humanoid robots.
• Develop and deploy perception, localization, and navigation systems using Lidar-based and Visual SLAM techniques.
• Design real-time embedded systems to interface with sensors, actuators, and compute platforms (e.g., ARM, DSPs, FPGAs).
• Integrate deep learning models for object detection, motion planning, behavior prediction, and scene understanding.
• Contribute to or lead R&D efforts related to Generative AI and its applications in robotics.
• Collaborate with cross-functional teams including mechanical, electrical, and AI scientists to deliver complete solutions.
• Evaluate and integrate sensors such as cameras, IMUs, LIDARs, and ultrasonic systems for 360° situational awareness.
• Mentor junior engineers and provide strategic input into long-term robotics and AI vision.

Required Qualifications:

• Master’s or Ph.D. in Robotics, Computer Engineering, Electrical Engineering, or a related field.
• 10+ years of experience in robotics systems design, with a focus on AMRs and/or drones.
• Proficiency in C/C++, Python, and ROS/ROS2 frameworks.
• Proven experience with SLAM systems, both Lidar-based (e.g., Cartographer, LOAM) and visual (e.g., ORB-SLAM, OpenVSLAM).
• Hands-on expertise with embedded systems, RTOS, and board-level debugging.
• Solid understanding of deep learning frameworks (e.g., PyTorch, TensorFlow) and their deployment on edge devices.
• Familiarity with Generative AI models (e.g., transformers, diffusion models) and how they are shaping future intelligent systems.
• Experience with humanoid robotics is a strong plus.

Preferred Skills:

• Experience with hardware-in-the-loop (HIL) testing and simulation platforms (e.g., Gazebo, Isaac Sim).
• Knowledge of real-time computer vision, 3D mapping, and autonomous decision-making.
• Familiarity with safety, compliance, and fail-safe system design for autonomous platforms.
• Contributions to open-source robotics or AI projects.
• Demonstrated innovation through patents or publications.

Personal attributes:

Can-do attitude. Strong team player. Curious, creative, and good at solving problems. Execution and results oriented. Self-driven, Thinks Big and is highly accountable. Good communication skills.