Company

Luxolis (Lux PM Inc.)

Luxolis builds next-generation 3D vision, spatial intelligence, and AI perception systems for robotics, XR devices, and industrial automation. Our technology powers real-time 3D capture, SLAM, and AI analysis for humanoid robots, smart factories, and AR/XR platforms.

Role Overview

We are seeking an Embedded Systems & Robotics Engineer to design, develop, and optimize real-time embedded software and firmware for 3D vision sensors, spatial AI chips, and robotic platforms .

You will work at the intersection of embedded systems, robotics, perception, and AI acceleration , contributing directly to products deployed in humanoid robots, industrial robots, and XR devices .

Key ResponsibilitiesEmbedded Systems & Firmware

• Design and implement embedded software and firmware for robotics and vision systems
• Work with ARM-based SoCs, MCUs, and AI/vision accelerators
• Optimize memory (SRAM/DRAM), power consumption, and real-time performance
• Develop low-level drivers for cameras, depth sensors, IMUs, LiDAR, and communication interfaces

Robotics & Perception

• Integrate 3D vision, SLAM, and spatial perception pipelines on embedded platforms
• Support real-time sensor fusion (camera + IMU + depth)
• Collaborate on robot motion, perception, and control loops
• Interface with ROS / ROS2 and robotic middleware

AI & Edge Computing

• Deploy and optimize edge AI models (object detection, tracking, depth, SLAM)
• Work with YOLO-based models, embeddings, and inference pipelines
• Optimize inference using ONNX, TensorRT, OpenVINO, or custom runtimes
• Support on-chip inference and vision processing

System Integration

• Bring-up and debug custom hardware boards
• Work closely with hardware, chip, and optics teams
• Support XR / AR devices, humanoid robots, and industrial platforms
• Participate in field testing and performance validation

Required Qualifications

• Bachelor’s or Master’s degree in Computer Engineering, Robotics, Embedded Systems, or related field
• Strong proficiency in C/C++ for embedded systems
• Experience with Linux-based embedded systems (Yocto, Buildroot, Ubuntu)
• Hands-on experience with

Preferred / Nice-to-Have

• Experience with 3D vision, SLAM, or computer vision
• Experience deploying AI on edge devices (NPU, GPU, FPGA, ASIC )
• Knowledge of TensorRT, OpenCV, Open3D
• Experience with XR / AR hardware or humanoid robotics