We are seeking a Robotics Simulation Software Engineer to design and develop advanced simulation platforms used to evaluate, validate, and verify the performance of robotics applications across a variety of operational scenarios and test cases. This role will focus on building scalable, high-fidelity simulation environments that enable the testing of Autonomous Guided Vehicles (AGVs), Fleet Management Systems and web-based controllers before deployment in production environments.

We offer:

The ideal candidate combines strong software engineering skills with solid understanding of autonomous navigation, simulation technologies, and software quality practices. You will play a key role in building a virtual validation framework that accelerates product development, reduces dependence on physical hardware, and improves system reliability.

Key Responsibilities
 

Simulation Environment Development

• Design, develop, and maintain simulation tools and frameworks for validating robotics applications under a wide range of operating conditions and test scenarios.
• Build high-fidelity virtual environments that accurately represent warehouse, manufacturing, and intralogistics operations.
• Develop scalable simulation architectures capable of supporting large fleets of autonomous mobile robots.

System Validation & Verification

• Enable early-stage validation of Fleet Management Systems and robotics software without requiring physical robots.
• Develop automated test scenarios, evaluation metrics, and performance benchmarks.
• Analyze discrepancies between simulated and real-world system behavior and continuously improve simulation accuracy.
• Support regression testing and verification of software releases using simulation-based testing methodologies.

Virtual Lab & Test Automation

• Contribute to the development of a virtual lab environment for end-to-end testing of robotics solutions.
• Integrate simulation tools into CI/CD pipelines to support automated testing and continuous validation.
• Collaborate with software developers, QA engineers, systems engineers, and robotics teams to define test requirements and acceptance criteria.

Software Engineering & Quality

• Apply software quality best practices including code reviews, unit testing, system testing, and automated validation.

Support troubleshooting and root-cause analysis of software and system-level issues identified through simulation.

Tasks and Qualifications:

Required Qualifications

• Bachelor's or Master's degree in Robotics, Computer Science, Mechatronics, Electrical Engineering, or a related technical field.
• 3+ years of professional software development experience using C++ and/or Python.
• Strong hands-on experience with Linux-based development environments.
• Experience developing software for robotics, autonomous systems, or industrial automation solutions.
• Strong hands-on experience with robotics simulation and development tools, including:
  • ROS2
  • Gazebo
  • Isaac Sim
  • Python
• Experience with modern software engineering practices including:
  • Git version control
  • Agile development methodologies
• Strong written and verbal communication skills.

Experience with software quality assurance practices, including code reviews, unit testing, integration testing, and system testing