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