System Software Engineer

Your Mission

This position is responsible for developing simulation platforms, virtual models, and testing methods to support the deployment and validation of mobile robot fleets across manufacturing and logistics environments. It requires a strong software engineering foundation and practical experience in real-time system modelling, simulation design, or platform development. Experience in game development, simulation, autonomous vehicles, industrial automation, software systems, or applied research is relevant, while familiarity with advanced robotics simulation platforms such as NVIDIA Isaac Sim or Omniverse would be advantageous but is not mandatory.

What To Expect

Design and develop simulation software modules that model the behaviour of manufacturing and logistics systems and mobile robot fleets

Build modular, reusable simulation components that can be configured and deployed across different operational environments

Develop data pipelines, APIs, and connectors for integration with industrial systems, databases, middleware, and automation platforms

Apply simulation concepts such as event-driven systems, state machines, and continuous-time modelling to represent real-world operational behaviour

Support the development of digital twin models for robot fleets, logistics systems, and system interactions, including sim-to-real fidelity assessment

Work with simulation engines and frameworks such as Unity, Unreal Engine, Gazebo, Plant Simulation, AnyLogic, SimPy, NVIDIA Isaac Sim, or similar platforms to build and validate digital twins

Define test cases, acceptance criteria, KPIs, and methods for sim-to-real validation

Support technical documentation, software requirements, and engineering sprint reviews

Collaborate with robotics, automation, factory operations, data, and software teams

Prepare clear technical materials for internal stakeholders and management reporting

What You'll Bring

Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Physics, Mathematics, Mechatronics, Automation Engineering, or a related field, or equivalent practical experience

At least 3 years of professional software engineering experience in simulation, real-time or autonomous systems, game engines, backend platforms, industrial automation, logistics software, or applied computational modelling

Strong programming skills in Python and/or C++

Experience developing maintainable software, APIs, data pipelines, or simulation applications

Understanding of simulation concepts, including event-driven systems, state machines, time synchronisation, distributed systems, kinematics, motion dynamics, and rigid-body mechanics

Experience with simulation engines or frameworks such as Unity, Unreal Engine, Gazebo, AnyLogic, FlexSim, SimPy, Plant Simulation, NVIDIA Isaac Sim, or Omniverse

Experience with digital twin development, physical model validation, or sim-to-real workflows

Experience with SQL, data schemas, logs, time-series data, and data-quality validation

Experience with REST APIs, MQTT, gRPC, Protobuf, or other messaging and communication protocols

Experience with ROS/ROS2, URDF/SDF, robot model imports, or sensor simulation

Familiarity with AMR/AGV systems, fleet simulation, traffic control, or robot fleet management

Experience integrating with industrial and factory automation platforms such as MES, WMS, PLC, SCADA, and OPC UA, including communication standards such as VDA 5050

Experience with Docker, Git, CI/CD, automated testing, and engineering documentation

Exposure to automotive manufacturing, smart factories, logistics or warehouse automation, or industrial robotics

Ability to work effectively across software, operations, manufacturing, and cross-functional engineering teams