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Software Engineer – Autonomous Mobile Robotics

Join the Grenzebach Team

Grenzebach Corporation is a high-tech company focusing on the future of automation, our customers, and our employees. We are convinced that only those who explore new paths and face today's issues with an open mind can actively shape the world.

An open and appreciative culture unites our multinational group of companies. Embark on a new course and join us on an exciting journey that will change global markets from the bottom up. Become part of the Grenzebach family, grow professionally and personally, and accompany our customers on their journey into the world of tomorrow!

Benefits / Perks:

• FREE Employee Insurance - Medical, Dental and Vision
• FREE Long-Term and Short-Term Disability Insurance
• FREE Gym Membership
• FREE Life Insurance
• 20 PTO Days Starting Day 1
• 401k with Match
• 10 Paid Holidays
• Annual Bonus Opportunity
• Employee Assistance Program

Position Overview

We are seeking a highly skilled Software Engineer – Autonomous Mobile Robotics to support the design, development, integration, and lifecycle management of software systems used in Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) operating in data center environments.

This role focuses on developing and maintaining software architectures that enable reliable navigation, perception, and fleet coordination of robotic vehicles operating in complex facilities such as manufacturing plants, logistics centers, and data center infrastructure environments.

The successful candidate will contribute to the development and deployment of robot control software, sensor integration, navigation algorithms, and fleet management systems that support safe, scalable, and high-performance robotic operations.

Job Description

• Develop, maintain, and optimize software for AGV and AMR control systems.
• Implement and support navigation, localization, and motion control algorithms used in autonomous vehicles.
• Develop software modules for real-time robot control and industrial automation systems.
• Implement and maintain SLAM (Simultaneous Localization and Mapping) navigation algorithms.
• Develop and maintain software using CODESYS for industrial robotic systems.
• Integrate robot control systems with industrial PLC architecture and automation infrastructure.
• Support communication protocols used in industrial robotics environments (EtherCAT, CAN, TCP/IP, Modbus, etc.).
• Design and support robot SLAM navigation and fleet management systems responsible for task scheduling, traffic control, and system coordination.
• Implement communication frameworks enabling multi-robot coordination and centralized fleet supervision.
• Integrate robotics systems with WMS, MES, and facility control systems.
• Develop simulation and test environments for validating navigation algorithms and robot behaviors.
• Support system testing, commissioning, and Factory Acceptance Testing (FAT) for robotic platforms.
• Debug field issues related to navigation, perception, and fleet coordination.
• Optimize system performance for high uptime and reliability in industrial operations.
• Support diagnostics, telemetry, and monitoring systems for robot fleets.
• Collaborate with hardware, controls, and mechanical teams to improve overall robot system performance.

Qualifications

Requirements:

• Bachelor's or Master's degree in Computer Science, Robotics, Mechatronics, Electrical Engineering, or related field.
• 2 years of experience developing software for robotics, autonomous systems, or industrial automation
• Strong programming experience in C/C++, Python, or similar languages
• Experience with CODESYS or PLC-based control systems
• Hands-on experience with LiDAR sensor integration and processing
• Familiarity with real-time control systems and embedded software environments
• Experience working in industrial or manufacturing environments

Preferred Qualifications

• Experience developing software for AGVs, AMRs, mobile robotics, or warehouse automation systems
• Experience implementing or supporting SLAM-based navigation systems
• Experience with robot fleet management or multi-robot coordination systems
• Experience with ROS / ROS2 robotics middleware
• Familiarity with path planning algorithms (A, D, RRT, etc.) *
• Experience with industrial communication protocols (EtherCAT, CANOpen, OPC UA)
• Experience integrating robotics systems with MES/WMS platforms
• Experience with simulation environments such as Gazebo or digital twin systems
• Knowledge of robot safety standards (ISO 3691-4, ISO 13849, etc.)

Key Technical Skill Areas

• CODESYS PLC Programming
• LiDAR-based perception systems
• SLAM navigation algorithms
• Autonomous robot localization and mapping
• Robot motion control
• Multi-robot fleet management systems
• Industrial automation and controls integration
• Sensor fusion and perception processing

Work Environment

Heavy manufacturing / industrial robotics environment

Interaction with cross-functional teams including:

• Mechanical engineering
• Electrical engineering
• automation controls
• commissioning teams
• production and manufacturing operations

Support for robot commissioning, testing labs, and Factory Acceptance Testing (FAT)

Key Traits for Success

• Strong systems thinking and debugging ability
• Ability to work in complex hardware-software integrated environments
• Comfort operating in fast-paced industrial development cycles
• Strong collaboration with engineering and production teams
• Focus on reliability, safety, and operational scalability