Implement and maintain SLAM (Simultaneous Localization and Mapping) navigation algorithms. * Develop and maintain software using CODESYS for industrial robotic systems. * Integrate robot control ...
Implement and maintain SLAM (Simultaneous Localization and Mapping) navigation algorithms. * Develop and maintain software using CODESYS for industrial robotic systems. * Integrate robot control ...
Localization requirements * Minority Interest & Consolidation processes * Experience in ... Analyze finance business processes and map them to Microsoft Dynamics 365 F&O / AX 2012 ...
New
Localization requirements * Minority Interest & Consolidation processes * Experience in ... Analyze finance business processes and map them to Microsoft Dynamics 365 F&O / AX 2012 ...
New
Design, implement, and maintain the perception pipeline for autonomous mobile robots, including object detection, segmentation, localization, and mapping * Integrate and calibrate LiDAR, depth ...
Design, implement, and maintain the perception pipeline for autonomous mobile robots, including object detection, segmentation, localization, and mapping * Integrate and calibrate LiDAR, depth ...
Robotics Perception Engineer
Atlanta, GA · On-site +1
Design, implement, and maintain the perception pipeline for autonomous mobile robots, including object detection, segmentation, localization, and mapping * Integrate and calibrate LiDAR, depth ...
Robotics Perception Engineer
Atlanta, GA · On-site +1
Design, implement, and maintain the perception pipeline for autonomous mobile robots, including object detection, segmentation, localization, and mapping * Integrate and calibrate LiDAR, depth ...
$223K - $259K/yr
Experience with sensor fusion and perception pipelines, including integration of LiDAR, IMU, GPS, and camera data for localization and mapping (SLAM). * Familiarity with simulation environments (e.g ...
$223K - $259K/yr
Experience with sensor fusion and perception pipelines, including integration of LiDAR, IMU, GPS, and camera data for localization and mapping (SLAM). * Familiarity with simulation environments (e.g ...
Lead a team of engineers, localization specialists, and technical vendor resources responsible for ... maps, * Technology Leadership: Act as the technical counterpart to Stay Product/Program Directors ...
Lead a team of engineers, localization specialists, and technical vendor resources responsible for ... maps, * Technology Leadership: Act as the technical counterpart to Stay Product/Program Directors ...
Practicing Solution Architect- SAP Hybris
$82.08K - $193.44K/yr
Ability to map business requirements into the technical capabilities of the eCommerce platform as ... and Localization Excellent client-facing presentation and communication Skills Demonstrate ...
Practicing Solution Architect- SAP Hybris
$82.08K - $193.44K/yr
Ability to map business requirements into the technical capabilities of the eCommerce platform as ... and Localization Excellent client-facing presentation and communication Skills Demonstrate ...
Map Localization information
What are the key skills and qualifications needed to thrive as a Map Localization Engineer, and why are they important?
To thrive as a Map Localization Engineer, you need a strong background in robotics, computer vision, and algorithms, often supported by a degree in computer science, electrical engineering, or a related field. Proficiency with tools and frameworks such as ROS (Robot Operating System), SLAM (Simultaneous Localization and Mapping), and programming languages like C++ and Python is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating on complex projects and debugging localization systems. These skills are crucial for developing accurate and reliable localization solutions that enable autonomous navigation and mapping in real-world environments.
What are some common challenges faced by professionals working in map localization roles?
Professionals in map localization often encounter challenges such as managing the accuracy of real-time data from multiple sources and ensuring that maps remain up-to-date with constantly changing environments. Additionally, working with large volumes of geospatial data requires strong analytical and technical skills, especially when integrating information from LiDAR, GPS, and camera systems. Collaboration with cross-functional teams, such as software developers and robotics engineers, is essential to solve localization issues and to deliver reliable navigation solutions. Staying current with advances in localization algorithms and mapping technologies is also important for ongoing success in this field.
What is map localization?
Map localization is the process of determining a device's or vehicle’s precise position within a known map or environment. It is a crucial component in robotics, autonomous vehicles, and navigation systems, allowing them to understand their location relative to their surroundings. Accurate map localization enables systems to navigate safely, avoid obstacles, and perform tasks efficiently. This process often uses sensors like GPS, LiDAR, cameras, and algorithms such as SLAM (Simultaneous Localization and Mapping).
What is the difference between Map Localization vs GIS Technician?
| Aspect | Map Localization | GIS Technician |
|---|---|---|
| Required Credentials | GPS, GIS, or mapping software certifications | GIS certifications, degree in geography or related field |
| Work Environment | Fieldwork, outdoor mapping, mobile devices | Office-based, desktop GIS software |
| Employer & Industry Usage | Navigation apps, autonomous vehicles, outdoor mapping | Urban planning, environmental management, utilities |
| Search & Comparison Intent | Understanding field mapping roles | Technical GIS data management |
Map Localization focuses on real-time positioning and navigation, often in outdoor or mobile environments, using GPS and mapping tools. GIS Technicians handle spatial data analysis, map creation, and GIS software management primarily in office settings. While both roles involve geographic data, Map Localization emphasizes field-based positioning, whereas GIS Technicians focus on data processing and map development.
What are popular job titles related to Map Localization jobs in Georgia? For Map Localization jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Map Localization jobs in Georgia look for? The top searched job categories for Map Localization jobs in Georgia are:
What cities in Georgia are hiring for Map Localization jobs? Cities in Georgia with the most Map Localization job openings:
Other
Medical, Dental, Vision, Life, Retirement, PTO
Posted 15 days ago
Job description
Software Engineer
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.
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 (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
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 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