Principal Robotics Engineer with (AMRs), or humanoid robots.

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

Hello,

Hope you are doing well,

Role: Principal Robotics Engineer with AMRs

Position Type: Contract

Location: Remote in US

Note: The ideal candidate should have deep expertise in autonomous mobile robots (AMRs), drones, or humanoid robots.

Job Description:

We are seeking an exceptional Principal Engineer, Robotics Software to join our cutting-edge Robotics and AI software team. The ideal candidate brings deep, hands-on experience in autonomous mobile robots (AMRs), aerial drones, and most preferably 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 understanding of advancements in Generative AI (GenAI). Expertise in Lidar-based SLAM and Visual

SLAM is critical for success in this role.

Drive technical discussions relating to architecture, design, and development of software and hardware systems for AMRs, drones, and/or humanoid robots.
Build 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.
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 electrical engineers and AI scientists to deliver complete solutions.
Evaluate and integrate sensors such as cameras, IMUs, LiDARs, and ultrasonic systems for 360 Degree situational awareness.
Mentor junior engineers and provide strategic input into long-term robotics and AI vision.

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.

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.

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