Senior/Lead Engineer, Robotics Software

Project Description

This team is working with an AI chip company that develops specialized software-centric Machine Learning Systems-on-Chip (MLSoC) to enable high-performance, power-efficient "Physical AI" at the edge. Their technology is designed for robotics, autonomous vehicles, drones, and smart cameras, allowing them to process complex computer vision and multimodal AI tasks locally with very low power consumption.

Job Description

Required Qualifications and Experience

• 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.
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Job Responsibilities

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° situational awareness.
• Mentor junior engineers and provide strategic input into long-term robotics and AI vision.