Software Engineer, Robotics, Systems Engineer
Job in
Newnan, Coweta County, Georgia, 30254, USA
Listed on 2026-05-06
Listing for:
Grenzebach Corporation
Full Time
position Listed on 2026-05-06
Job specializations:
-
Engineering
Robotics, Systems Engineer, Automation Engineering, Embedded Software Engineer
Job Description & How to Apply Below
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 1401k 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 (Ether
CAT, 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.
Requirements:
Required Qualifications 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 (Ether
CAT, CANO
pen, 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 Candidates should demonstrate experience or familiarity with the following technologies:
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…
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