Company Description

Bayro LLC is transforming how modern factories move, connect, and operate through intelligent automation solutions for smart manufacturing. The company focuses on autonomous mobile robots (AMR), warehouse automation, intelligent logistics, and integrated factory systems. By connecting robots, equipment, software, and data, Bayro helps manufacturers simplify material flow, improve efficiency, and enable flexible, scalable production environments. Its mission is to make manufacturing smarter, simpler, and more connected. Bayro envisions a future driven by intelligent robots, real-time data, and highly connected factory ecosystems and is dedicated to building that future.

Role Description

As a Robotics Navigation & Coordination Algorithm Engineer at Bayro LLC, you will lead the research, development, and deep optimization of perception, localization, path planning, and fleet coordination algorithms for AMRs/AGVs in complex industrial environments. You will tackle real-world automation challenges—such as high-density storage, mixed human-vehicle traffic, and narrow aisles—driving tangible improvements in multi-robot logistics efficiency and system throughput. This is a full-time role open to candidates based in either Mountain View, CA, or Dallas (Plano), TX.

Key Responsibilities

Core Navigation R&D: Responsible for global/local path planning and motion control algorithms for diverse chassis types (differential drive, steering wheel, Mecanum)[cite: 1].
Localization & SLAM Optimization: Optimize multi-sensor fusion SLAM (LiDAR, vision, IMU) for highly dynamic, weak-texture, or repetitive structural scenarios to enhance robustness.
Multi-Robot Coordination & Interfaces: Participate in multi-agent routing, real-time conflict resolution, deadlock prevention, and recovery mechanisms. Define efficient communication interfaces between edge navigation systems and upper-level scheduling systems (RCS/WCS).
Full-Chain Implementation & Tuning: Migrate, deploy, and benchmark algorithms from simulation environments (e.g., Gazebo, NVIDIA Isaac Sim) to real robot platforms. Conduct field testing and performance tuning to eliminate localization drift and planning jitter.

Qualifications

Education: Bachelor’s degree or higher in Computer Science, Automation, Robotics, or related engineering fields[cite: 1, 2].
Programming Foundation: Proficiency in C++ (familiar with STL, multithreading, and memory management) and Python within a Linux development environment[cite: 1, 2].
Algorithmic Theory: Deep understanding of state estimation theory (Kalman Filters, factor graph optimization) and path planning/motion planning algorithms[cite: 1, 2].
Tools & Frameworks: Proficient with ROS/ROS2 and common algorithm libraries such as OpenCV, PCL, Eigen, GTSAM, or Ceres[cite: 1]. Experience with simulation tools like Gazebo or NVIDIA Isaac Sim is required[cite: 1, 2].
Experience: Minimum 3+ years of practical R&D experience in robotics navigation algorithms, SLAM, or cluster scheduling[cite: 1, 2]. Proven track record of deploying AMR/AGV products in smart warehousing or industrial logistics scenarios is highly valued[cite: 1, 2].

Bayro LLC

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Robotics Navigation & Coordination Algorithm Engineer（AGV/AMR）